BACK TO INDEX


Publications of year 2005

Books and proceedings

  1. Ian G. Cumming and Frank H. Wong. Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation. Artech House Inc., Boston, London, 2005.
    Keywords: SAR Processing, Range-Doppler Algorithm, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, Range Migration Algorithm, omega-k, Wavenumber Domain Algorithm, SPECAN Algorithm, Comparison of Algorithms, Demodulation, Quadrature Demodulation, Hilbert Transform, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, Doppler Rate Estimation, Azimuth FM Rate, Autofocus Techniques, ScanSAR, Range Compression, Pulse Compression, Pulse Compression of Linear FM Signals, Linear FM Signals, Stolt Mapping, Quality Assessment, Quality Measures, Quality Metrics, PSLR, ISLR, Spaceborne SAR.
    Abstract: This cutting-edge resource offers you complete howto guidance on digital processing of synthetic aperture radar (SAR) data. You discover how SAR is used to obtain a high-resolution image from a satellite and learn the mathematical structure and spectral properties of the signal received from a SAR system. Supported with over 600 equations and over 250 figures, the book arms you with state-of-the-art signal processing algorithms and helps you choose the best algorithm for a given SAR system and image quality requirements. This hands-on reference shows you how to process received SAR data into a well-focused image on a digital computer, using the popular range Doppler, chirp scaling, omega-K and SPECAN algorithms. In addition, the book teaches you how to process ScanSAR data using the full-aperture, SPECAN, short IFFT and extended chirp scaling algorithms. You also learn how to estimate the Doppler centroid frequency and azimuth FM rate from a geometry model or from received data. Written from a digital signal processing point of view, this authoritative volume can be fully understood by professionals with a general electrical engineering background. 

    @BOOK{cummingWong05:SARBook,
title = {Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation},
publisher = {Artech House Inc.},
year = {2005},
author = {Ian G. Cumming and Frank H. Wong},
address = {Boston, London},
abstract = {This cutting-edge resource offers you complete howto guidance on digital processing of synthetic aperture radar (SAR) data. You discover how SAR is used to obtain a high-resolution image from a satellite and learn the mathematical structure and spectral properties of the signal received from a SAR system. Supported with over 600 equations and over 250 figures, the book arms you with state-of-the-art signal processing algorithms and helps you choose the best algorithm for a given SAR system and image quality requirements. This hands-on reference shows you how to process received SAR data into a well-focused image on a digital computer, using the popular range Doppler, chirp scaling, omega-K and SPECAN algorithms. In addition, the book teaches you how to process ScanSAR data using the full-aperture, SPECAN, short IFFT and extended chirp scaling algorithms. You also learn how to estimate the Doppler centroid frequency and azimuth FM rate from a geometry model or from received data. Written from a digital signal processing point of view, this authoritative volume can be fully understood by professionals with a general electrical engineering background.},
keywords = {SAR Processing, Range-Doppler Algorithm, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm,Range Migration Algorithm, omega-k, Wavenumber Domain Algorithm, SPECAN Algorithm, Comparison of Algorithms, Demodulation, Quadrature Demodulation, Hilbert Transform, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, Doppler Rate Estimation, Azimuth FM Rate, Autofocus Techniques, ScanSAR, Range Compression, Pulse Compression, Pulse Compression of Linear FM Signals, Linear FM Signals,Stolt Mapping, Quality Assessment,Quality Measures,Quality Metrics,PSLR, ISLR,Spaceborne SAR},
owner = {ofrey},
url = {http://www.artechhouse.com} 
}


  2. Petre Stoica and Randolph L. Moses. Spectral Analysis of Signals. Prentice Hall, Upper Saddle River, NJ, 2005.
    Keywords: Spectral Estimation, MUSIC, Capon, Beamforming, Direction-of-arrival estimation, SAR Processing, SAR Tomography. 
    @BOOK{stoicaMosesBook2005:SpectralAnalysis,
title = {Spectral Analysis of Signals},
publisher = {Prentice Hall},
year = {2005},
author = {Petre Stoica and Randolph L. Moses},
address = {Upper Saddle River, NJ},
keywords = {Spectral Estimation,MUSIC, Capon, Beamforming, Direction-of-arrival estimation, SAR Processing, SAR Tomography},
owner = {ofrey},
url = {http://www.ece.osu.edu/~randy/SAtext} 
}


Articles in journal or book chapters

  1. F. Bordoni, F. Lombardini, F. Gini, and A. Jakobsson. Multibaseline cross-track SAR interferometry using interpolated arrays. Aerospace and Electronic Systems, IEEE Transactions on, 41(4):1473--1482, 2005.
    Keywords: SAR Processing, SAR Tomography, Tomography, Layover, Array Interpolation.
    Abstract: This work deals with the problem of interferometric radar phase estimation in the presence of layover. The focus here is on multichannel interferometric synthetic aperture radar (InSAR) systems with a low number of phase centers and nonuniform array geometry. An interpolated array (IA) approach is proposed in order to apply parametric spectral estimation techniques designed for uniform linear arrays (ULAs). In particular, the interpolated MUSIC and weighted subspace fitting (WSF) algorithms are considered and compared with conventional methods. Performance analysis under different InSAR scenarios is carried out based on Monte Carlo simulations. The Cram´er-Rao lower bound (CRLB) for the nonuniform interferometric array is derived and reported as a benchmark on the estimation accuracy. 

    @ARTICLE{bordoniLombardiniGiniJakobsson05:Tomo,
author = {Bordoni, F. and Lombardini, F. and Gini, F. and Jakobsson, A.},
title = {Multibaseline cross-track SAR interferometry using interpolated arrays},
journal = {Aerospace and Electronic Systems, IEEE Transactions on},
year = {2005},
volume = {41},
pages = {1473--1482},
number = {4},
abstract = {This work deals with the problem of interferometric radar 

phase estimation in the presence of layover. The focus here is on 

multichannel interferometric synthetic aperture radar (InSAR) 

systems with a low number of phase centers and nonuniform 

array geometry. An interpolated array (IA) approach is proposed 

in order to apply parametric spectral estimation techniques 

designed for uniform linear arrays (ULAs). In particular, the 

interpolated MUSIC and weighted subspace fitting (WSF) 

algorithms are considered and compared with conventional 

methods. Performance analysis under different InSAR scenarios is 

carried out based on Monte Carlo simulations. The Cram´er-Rao 

lower bound (CRLB) for the nonuniform interferometric array is 

derived and reported as a benchmark on the estimation accuracy.},
issn = {0018-9251},
keywords = {SAR Processing, SAR Tomography, Tomography, Layover, Array Interpolation},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/bordoniLombardiniGiniJakobssonTomo05.pdf},
url = {http://ieeexplore.ieee.org/iel5/7/33161/01561898.pdf} 
}


  2. Karlus A. Câmara de Macedo and Rolf Scheiber. Precise topography- and aperture-dependent motion compensation for airborne SAR. Geoscience and Remote Sensing Letters, IEEE, 2(2):172-176, 2005.
    Keywords: SAR Processing, PTA-MoComp, Postprocessing, Motion Compensation, Topography-Based Motion Compensation, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, fast Fourier transform-based postprocessing methodology, FFT, D-InSAR, German Aerospace Center, DLR, airborne repeat-pass interferometry, differential interferometry, geometric fidelity, motion errors, phase accuracy, residual phase errors, topographic heights, Topography, DEM, Terrain, wide beamwidth, Airborne SAR, ESAR, P-Band, differential interferometry, Interferometry, motion errors.
    Abstract: Efficient synthetic aperture radar (SAR) processing algorithms are unable to exactly implement the aperture- and topography-dependent motion compensation due to the superposition of the synthetic apertures of several targets having different motion errors and potentially different topographic heights. Thus, during motion compensation, a reference level is assumed, resulting in residual phase errors that impact the focusing, geometric fidelity, and phase accuracy of the processed SAR images. This letter proposes a new short fast Fourier transform-based postprocessing methodology capable of efficient and precise compensation of these topography- and aperture-dependent residual phase errors. In addition to wide beamwidth (very high resolution) SAR systems, airborne repeat-pass interferometry especially benefits from this approach, as motion compensation can be significantly improved, especially in areas with high topographic changes. Repeat-pass interferometric data of the E-SAR system of the German Aerospace Center (DLR) are used to demonstrate the performance of the proposed approach. 

    @ARTICLE{deMacedoScheiber05:DEMBasedMoComp,
author = {C{\^a}mara de Macedo, Karlus A. and Scheiber, Rolf},
title = {{Precise topography- and aperture-dependent motion compensation for airborne SAR}},
journal = {Geoscience and Remote Sensing Letters, IEEE},
year = {2005},
volume = {2},
pages = {172-176},
number = {2},
abstract = {Efficient synthetic aperture radar (SAR) processing algorithms are unable to exactly implement the aperture- and topography-dependent motion compensation due to the superposition of the synthetic apertures of several targets having different motion errors and potentially different topographic heights. Thus, during motion compensation, a reference level is assumed, resulting in residual phase errors that impact the focusing, geometric fidelity, and phase accuracy of the processed SAR images. This letter proposes a new short fast Fourier transform-based postprocessing methodology capable of efficient and precise compensation of these topography- and aperture-dependent residual phase errors. In addition to wide beamwidth (very high resolution) SAR systems, airborne repeat-pass interferometry especially benefits from this approach, as motion compensation can be significantly improved, especially in areas with high topographic changes. Repeat-pass interferometric data of the E-SAR system of the German Aerospace Center (DLR) are used to demonstrate the performance of the proposed approach.},
keywords = {SAR Processing, PTA-MoComp, Postprocessing, Motion Compensation, Topography-Based Motion Compensation, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, fast Fourier transform-based postprocessing methodology,FFT, D-InSAR, German Aerospace Center, DLR, airborne repeat-pass interferometry, differential interferometry, geometric fidelity, motion errors, phase accuracy, residual phase errors, topographic heights, Topography,DEM,Terrain, wide beamwidth, Airborne SAR, ESAR, P-Band, differential interferometry, Interferometry, motion errors},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/deMacedoScheiber05.pdf},
url = {http://ieeexplore.ieee.org/iel5/8859/30687/01420299.pdf} 
}


  3. G. Fornaro, G. Franceschetti, and S. Perna. Motion compensation errors: effects on the accuracy of airborne SAR images. IEEE Transactions on Aerospace and Electronic Systems, 41(4):1338-1352, October 2005.
    Keywords: SAR Processing, Motion Compensation, Residual Motion Errors, Autofocus, Airborne SAR, airborne radar, interferometry, motion compensation, radar imaging, synthetic aperture radar airborne SAR images, digital elevation model inaccuracies, motion compensation errors, phase errors, positioning measurement instrument, repeat pass airborne interferometry, residual uncompensated motion errors, synthetic aperture radar.
    Abstract: This work addresses the study of the effect of residual uncompensated motion errors due to positioning measurement instrument and digital elevation model inaccuracies on the accuracy of airborne synthetic aperture radar (SAR) images. It is shown that these not only introduce phase errors following pure geometric considerations, but they also cause additional aberrations related to their interaction with the SAR processing procedure. Extension to the repeat pass airborne interferometry is also included to show their impact on the resulting interferograms. 

    @ARTICLE{FornaroFranceschettiPerna05:MoComp,
author = {Fornaro, G. and Franceschetti, G. and Perna, S.},
title = {{Motion compensation errors: effects on the accuracy of airborne SAR images}},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
year = {2005},
volume = {41},
pages = {1338-1352},
number = {4},
month = {oct},
abstract = {This work addresses the study of the effect of residual uncompensated motion errors due to positioning measurement instrument and digital elevation model inaccuracies on the accuracy of airborne synthetic aperture radar (SAR) images. It is shown that these not only introduce phase errors following pure geometric considerations, but they also cause additional aberrations related to their interaction with the SAR processing procedure. Extension to the repeat pass airborne interferometry is also included to show their impact on the resulting interferograms.},
doi = {10.1109/TAES.2005.1561879},
keywords = {SAR Processing, Motion Compensation, Residual Motion Errors, Autofocus,Airborne SAR, airborne radar, interferometry, motion compensation, radar imaging, synthetic aperture radar airborne SAR images, digital elevation model inaccuracies, motion compensation errors, phase errors, positioning measurement instrument, repeat pass airborne interferometry, residual uncompensated motion errors, synthetic aperture radar},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/FornaroFranceschettiPerna05.pdf},
url = {http://ieeexplore.ieee.org/iel5/7/33161/01561879.pdf} 
}


  4. Gianfranco Fornaro, Fabrizio Lombardini, and Francesco Serafino. Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data. Geoscience and Remote Sensing, IEEE Transactions on, 43(4):702--714, 2005.
    Keywords: SAR Processing, SAR Tomography, Tomography, Interferometry, airborne SAR, Spaceborne SAR, stereo image processing, three-dimensional multipass SAR focusing, ERS data, ERS multipass tomography, European Remote Sensing satellite, SAR interferometry, atmospheric variations, azimuth-range resolution cell, critical nonlinear inversion steps, ground pixel, height profile reconstruction, limited spatial-coverage, limited time-span, multibaseline 3D SAR focusing, multiple targets, radiation penetration, scattering mechanisms, scene deformations, side-looking geometry, space-varying phase calibration, tomographic processing, Multibaseline, multipass, three-dimensional focusing.
    Abstract: Synthetic aperture radar (SAR) interferometry is a modern efficient technique that allows reconstructing the height profile of the observed scene. However, apart for the presence of critical nonlinear inversion steps, particularly crucial in abrupt topography scenarios, it does not allow one to separate different scattering mechanisms in the elevation (height) direction within the ground pixel. Overlay of scattering at different elevations in the same azimuth-range resolution cell can be due either to the penetration of the radiation below the surface or to perspective ambiguities caused by the side-looking geometry. Multibaseline three-dimensional (3-D) SAR focusing allows overcoming such a limitation and has thus raised great interest in the recent research. First results with real data have been only obtained in the laboratory and with airborne systems, or with limited time-span and spatial-coverage spaceborne data. This work presents a novel approach for the tomographic processing of European Remote Sensing satellite (ERS) real data for extended scenes and long time span. Besides facing problems common to the airborne case, such as the nonuniformly spaced passes, this processing requires tackling additional difficulties specific to the spaceborne case, in particular a space-varying phase calibration of the data due to atmospheric variations and possible scene deformations occurring for years-long temporal spans. First results are presented that confirm the capability of ERS multipass tomography to resolve multiple targets within the same azimuth-range cell and to map the 3-D scattering properties of the illuminated scene. 

    @ARTICLE{fornaroLombardiniSerafino05:MultipassTomo3D,
author = {Gianfranco Fornaro and Fabrizio Lombardini and Francesco Serafino},
title = {Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data},
journal = {Geoscience and Remote Sensing, IEEE Transactions on},
year = {2005},
volume = {43},
pages = {702--714},
number = {4},
abstract = {Synthetic aperture radar (SAR) interferometry is a modern efficient technique that allows reconstructing the height profile of the observed scene. However, apart for the presence of critical nonlinear inversion steps, particularly crucial in abrupt topography scenarios, it does not allow one to separate different scattering mechanisms in the elevation (height) direction within the ground pixel. Overlay of scattering at different elevations in the same azimuth-range resolution cell can be due either to the penetration of the radiation below the surface or to perspective ambiguities caused by the side-looking geometry. Multibaseline three-dimensional (3-D) SAR focusing allows overcoming such a limitation and has thus raised great interest in the recent research. First results with real data have been only obtained in the laboratory and with airborne systems, or with limited time-span and spatial-coverage spaceborne data. This work presents a novel approach for the tomographic processing of European Remote Sensing satellite (ERS) real data for extended scenes and long time span. Besides facing problems common to the airborne case, such as the nonuniformly spaced passes, this processing requires tackling additional difficulties specific to the spaceborne case, in particular a space-varying phase calibration of the data due to atmospheric variations and possible scene deformations occurring for years-long temporal spans. First results are presented that confirm the capability of ERS multipass tomography to resolve multiple targets within the same azimuth-range cell and to map the 3-D scattering properties of the illuminated scene.},
keywords = {SAR Processing, SAR Tomography, Tomography, Interferometry, airborne SAR, Spaceborne SAR, stereo image processing, three-dimensional multipass SAR focusing, ERS data, ERS multipass tomography, European Remote Sensing satellite, SAR interferometry, atmospheric variations, azimuth-range resolution cell, critical nonlinear inversion steps, ground pixel, height profile reconstruction, limited spatial-coverage, limited time-span, multibaseline 3D SAR focusing, multiple targets, radiation penetration, scattering mechanisms, scene deformations, side-looking geometry, space-varying phase calibration, tomographic processing, Multibaseline, multipass, three-dimensional focusing},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/fornaroLombardiniSerafino05.pdf},
url = {http://ieeexplore.ieee.org/iel5/36/30591/01411976.pdf} 
}


  5. F. Gini and F. Lombardini. Multibaseline Cross-Track SAR Interferometry: A Signal Processing Perspective. IEEE Aerospace and Electronic Systems Magazine, 20(8):71--93, 2005.
    Keywords: SAR Processing, SAR Tomography, Tomography, AWGN, array signal processing, radar signal processing, speckle, surface topography measurement, synthetic aperture radar, InSAR, MB SAR tomography, SAR signal processing, ULA, XTI-SAR, additive white Gaussian noise, multibaseline cross-track SAR interferometry, multicomponent signal detection, multiplicative noise, natural layover area reflectivity, nonparametric spectral estimation, nonperfectly calibrated arrays, parametric spectral estimation, radar imaging speckle, semitransparent volume scattering layers, surface topography measurement, synthetic aperture radar interferometry, uniform linear array.
    Abstract: Synthetic aperture radar interferometry (InSAR) is a powerful and increasingly expanding technique for measuring the topography of a surface, its changes over both short- and long-time scale, and other changes in the detailed characteristics of the surface. We provide a tutorial description of recent results on multibaseline (MB) InSAR processing. The main focus is on the problem of retrieving both heights and radar reflectivities of natural layover areas by means of a cross-track InSAR (XTI-SAR) system with a uniform linear array (ULA). It is formulated as the problem of detecting and estimating a multicomponent signal corrupted by multiplicative noise - the speckle in the radar imaging jargon - and by additive white Gaussian noise. Application to the InSAR problem of both nonparametric and parametric modern spectral estimation techniques is described. The problem of estimating the number of signal components in the presence of speckle is also addressed. Finally, a brief mention is given to recent research trends on robust methods for nonperfectly calibrated arrays, on processing for non-ULA configurations, and on MB SAR tomography, which is an extension of MB SAR interferometry for the full 3D mapping of semitransparent volume scattering layers. The state of the art of other advanced multichannel interferometric techniques is also briefly recalled. 

    @ARTICLE{giniLombardini05:Tomo,
author = {Gini, F. and Lombardini, F.},
title = {{Multibaseline Cross-Track SAR Interferometry: A Signal Processing Perspective}},
journal = {IEEE Aerospace and Electronic Systems Magazine},
year = {2005},
volume = {20},
pages = {71--93},
number = {8},
abstract = {Synthetic aperture radar interferometry (InSAR) is a powerful and increasingly expanding technique for measuring the topography of a surface, its changes over both short- and long-time scale, and other changes in the detailed characteristics of the surface. We provide a tutorial description of recent results on multibaseline (MB) InSAR processing. The main focus is on the problem of retrieving both heights and radar reflectivities of natural layover areas by means of a cross-track InSAR (XTI-SAR) system with a uniform linear array (ULA). It is formulated as the problem of detecting and estimating a multicomponent signal corrupted by multiplicative noise - the speckle in the radar imaging jargon - and by additive white Gaussian noise. Application to the InSAR problem of both nonparametric and parametric modern spectral estimation techniques is described. The problem of estimating the number of signal components in the presence of speckle is also addressed. Finally, a brief mention is given to recent research trends on robust methods for nonperfectly calibrated arrays, on processing for non-ULA configurations, and on MB SAR tomography, which is an extension of MB SAR interferometry for the full 3D mapping of semitransparent volume scattering layers. The state of the art of other advanced multichannel interferometric techniques is also briefly recalled.},
issn = {0885-8985},
keywords = {SAR Processing, SAR Tomography, Tomography, AWGN, array signal processing, radar signal processing, speckle, surface topography measurement, synthetic aperture radar, InSAR, MB SAR tomography, SAR signal processing, ULA, XTI-SAR, additive white Gaussian noise, multibaseline cross-track SAR interferometry, multicomponent signal detection, multiplicative noise, natural layover area reflectivity, nonparametric spectral estimation, nonperfectly calibrated arrays, parametric spectral estimation, radar imaging speckle, semitransparent volume scattering layers, surface topography measurement, synthetic aperture radar interferometry, uniform linear array},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/giniLombardiniTomo05.pdf},
url = {http://ieeexplore.ieee.org/iel5/62/32201/01499278.pdf} 
}


  6. Young-Kyun Kong, Byung-Lae Cho, and Young-Soo Kim. Ambiguity-free Doppler centroid estimation technique for airborne SAR using the Radon transform. Geoscience and Remote Sensing, IEEE Transactions on, 43(4):715--721, 2005.
    Keywords: SAR Processing, Doppler Centroid Estimation, Doppler effect, Radon transforms, airborne radar, geophysical signal processing, geophysical techniques, radar clutter, synthetic aperture radar, Doppler Ambiguity Resolver, DAR, Radon transform, SAR image, SAR signal processing, airborne SAR, ambiguity-free Doppler centroid estimation technique, clutter-lock, geometric distortion, geometry-based Doppler estimator, radiometric error, signal-to-noise ratio, squint angle, synthetic aperture radar, Clutter-lock.
    Abstract: In synthetic aperture radar (SAR) signal processing, the Doppler centroid estimation technique, called the "clutter-lock", is important because it is related to the signal-to-noise ratio, geometric distortion, and radiometric error of the final SAR image. Conventional algorithms have either ambiguity problems or somewhat high computational load. Using the fact that the Doppler centroid and the squint angle are directly related, we propose an ambiguity-free Doppler centroid estimation technique using Radon transform, named geometry-based Doppler estimator. The proposed algorithm is computationally efficient and shows good performance of estimating the absolute Doppler centroid. 

    @ARTICLE{kongChoKim2005:DopCenEstimRadon,
author = {Kong, Young-Kyun and Cho, Byung-Lae and Kim, Young-Soo},
title = {Ambiguity-free Doppler centroid estimation technique for airborne SAR using the Radon transform},
journal = {Geoscience and Remote Sensing, IEEE Transactions on},
year = {2005},
volume = {43},
pages = {715--721},
number = {4},
abstract = {In synthetic aperture radar (SAR) signal processing, the Doppler centroid estimation technique, called the "clutter-lock", is important because it is related to the signal-to-noise ratio, geometric distortion, and radiometric error of the final SAR image. Conventional algorithms have either ambiguity problems or somewhat high computational load. Using the fact that the Doppler centroid and the squint angle are directly related, we propose an ambiguity-free Doppler centroid estimation technique using Radon transform, named geometry-based Doppler estimator. The proposed algorithm is computationally efficient and shows good performance of estimating the absolute Doppler centroid.},
issn = {0196-2892},
keywords = {SAR Processing, Doppler Centroid Estimation, Doppler effect, Radon transforms, airborne radar, geophysical signal processing, geophysical techniques, radar clutter, synthetic aperture radar, Doppler Ambiguity Resolver, DAR, Radon transform, SAR image, SAR signal processing, airborne SAR, ambiguity-free Doppler centroid estimation technique, clutter-lock, geometric distortion, geometry-based Doppler estimator, radiometric error, signal-to-noise ratio, squint angle, synthetic aperture radar, Clutter-lock},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/kongChoKim2005.pdf},
timestamp = {2006.04.28},
url = {http://ieeexplore.ieee.org/iel5/36/30591/01411977.pdf} 
}


  7. Fabrizio Lombardini. Differential tomography: a new framework for SAR interferometry. Geoscience and Remote Sensing, IEEE Transactions on, 43(1):37--44, 2005.
    Keywords: SAR Processing, backscatter, data acquisition, geophysical signal processing, geophysical techniques, multidimensional signal processing, radiowave interferometry, remote sensing by radar, spectral analysis, synthetic aperture radar, Tomography, SAR interferometry, baseline-time acquisition patterns, bidimensional baseline-time spectral analysis, data-dependent bidimensional spectral estimation, SAR Tomography, differential SAR tomography, differential tomography, electromagnetic tomography, elevation-velocity resolution, interferometric technique, joint baseline-time processing, layover scatterers, motion conditions, multibaseline SAR tomography, multidimensional signal processing, multiple scatterers, sparse sampling, synthetic aperture radar.
    Abstract: A new interferometric mode crossing the differential synthetic aperture radar (SAR) interferometry and multibaseline SAR tomography concepts, that can be termed differential SAR tomography, is proposed. Its potentials, coming from the joint elevation-velocity resolution capability of multiple scatterers, are discussed. Processing is cast in a bidimensional baseline-time spectral analysis framework, with sparse sampling. The use of a modern data-dependent bidimensional spectral estimator is proposed for joint baseline-time processing. Simulated results are reported for different baseline-time acquisition patterns and two motion conditions of layover scatterers, showing that this new challenging interferometric technique is promising. 

    @ARTICLE{lombadini05:DiffTomo,
author = {Lombardini, Fabrizio},
title = {Differential tomography: a new framework for SAR interferometry},
journal = {Geoscience and Remote Sensing, IEEE Transactions on},
year = {2005},
volume = {43},
pages = {37--44},
number = {1},
abstract = {A new interferometric mode crossing the differential synthetic aperture radar (SAR) interferometry and multibaseline SAR tomography concepts, that can be termed differential SAR tomography, is proposed. Its potentials, coming from the joint elevation-velocity resolution capability of multiple scatterers, are discussed. Processing is cast in a bidimensional baseline-time spectral analysis framework, with sparse sampling. The use of a modern data-dependent bidimensional spectral estimator is proposed for joint baseline-time processing. Simulated results are reported for different baseline-time acquisition patterns and two motion conditions of layover scatterers, showing that this new challenging interferometric technique is promising.},
keywords = {SAR Processing, backscatter, data acquisition, geophysical signal processing, geophysical techniques, multidimensional signal processing, radiowave interferometry, remote sensing by radar, spectral analysis, synthetic aperture radar, Tomography, SAR interferometry, baseline-time acquisition patterns, bidimensional baseline-time spectral analysis, data-dependent bidimensional spectral estimation, SAR Tomography, differential SAR tomography, differential tomography, electromagnetic tomography, elevation-velocity resolution, interferometric technique, joint baseline-time processing, layover scatterers, motion conditions, multibaseline SAR tomography, multidimensional signal processing, multiple scatterers, sparse sampling, synthetic aperture radar},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/lombardini05.pdf},
url = {http://ieeexplore.ieee.org/iel5/36/30123/01381617.pdf} 
}


  8. Pau Prats, Andreas Reigber, and Jordi J. Mallorqui. Topography-dependent motion compensation for repeat-pass interferometric SAR systems. Geoscience and Remote Sensing Letters, IEEE, 2(2):206--210, 2005.
    Keywords: SAR Processing, Motion Compensation, Topography-Based Motion Compensation, ESAR, L-Band, Airborne SAR, radar imaging, remote sensing by radar, synthetic aperture radar, Topography, German Aerospace Center E-SAR, DLR, SAR data processing, airborne L-band repeat-pass interferometric data, Interferometry, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, azimuth compression, azimuth coregistration errors, external digital elevation model, DEM, image enhancement, image registration, impulse response degradation, phase artifacts, repeat-pass interferometric SAR systems, Calibration, image registration, repeat-pass interferometry.
    Abstract: This letter presents a new motion compensation algorithm to process airborne interferometric repeat-pass synthetic aperture radar (SAR) data. It accommodates topography variations during SAR data processing, using an external digital elevation model. The proposed approach avoids phase artifacts, azimuth coregistration errors, and impulse response degradation, which usually appear due to the assumption of a constant reference height during motion compensation. It accurately modifies phase history of all targets before azimuth compression, resulting in an enhanced image quality. Airborne L-band repeat-pass interferometric data of the German Aerospace Center experimental airborne SAR (E-SAR) is used to validate the algorithm. 

    @ARTICLE{pratsReigberMallorqui05:TopographyDepMoCo,
author = {Prats, Pau and Reigber, Andreas and Mallorqui, Jordi J.},
title = {{Topography-dependent motion compensation for repeat-pass interferometric SAR systems}},
journal = {Geoscience and Remote Sensing Letters, IEEE},
year = {2005},
volume = {2},
pages = {206--210},
number = {2},
abstract = {This letter presents a new motion compensation algorithm to process airborne interferometric repeat-pass synthetic aperture radar (SAR) data. It accommodates topography variations during SAR data processing, using an external digital elevation model. The proposed approach avoids phase artifacts, azimuth coregistration errors, and impulse response degradation, which usually appear due to the assumption of a constant reference height during motion compensation. It accurately modifies phase history of all targets before azimuth compression, resulting in an enhanced image quality. Airborne L-band repeat-pass interferometric data of the German Aerospace Center experimental airborne SAR (E-SAR) is used to validate the algorithm.},
keywords = {SAR Processing, Motion Compensation,Topography-Based Motion Compensation, ESAR, L-Band, Airborne SAR, radar imaging, remote sensing by radar, synthetic aperture radar, Topography, German Aerospace Center E-SAR, DLR, SAR data processing, airborne L-band repeat-pass interferometric data, Interferometry, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, azimuth compression, azimuth coregistration errors, external digital elevation model, DEM, image enhancement, image registration, impulse response degradation, phase artifacts, repeat-pass interferometric SAR systems, Calibration, image registration, repeat-pass interferometry},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/pratsReigberMallorqui05.pdf},
url = {http://ieeexplore.ieee.org/iel5/8859/30687/01420306.pdf} 
}


  9. A. Reigber and L. Ferro-Famil. Interference suppression in synthesized SAR images. Geoscience and Remote Sensing Letters, IEEE, 2(1):45--49, 2005.
    Keywords: SAR Processsing, filtering theory, interference suppression, radar imaging, radar interference, synthetic aperture radar, German Aerospace Agency, L-Band, ESAR, SAR imaging, data processing, experimental SAR system, filtering theory, focused SAR images, SLC, image degradation, interferometric coherence, interferometric repeat-pass data, polarimetric descriptors, RFI Suppression, sensitive parameters estimation, synthetic aperture radar imaging.
    Abstract: Radio interferences are becoming more and more an important source for image degradation in synthetic aperture radar (SAR) imaging. Especially at longer wavelengths, interferences are often very strong, and their suppression is required during data processing. However, at shorter wavelengths, interferences are often not obvious in the image amplitude, and filtering is not performed in an operational way. Nevertheless, interferences might significantly degrade the image phase, and the estimation of sensitive parameters like interferometric coherence or polarimetric descriptors becomes imprecise. Interference suppression is usually performed on the raw data, which are in most cases not available to the end-user. In this letter, a new interference suppression method for focused SAR images is proposed. Its performance is tested on interferometric repeat-pass data acquired by the German Aerospace Agency's experimental SAR system (E-SAR) at L-band. 

    @ARTICLE{reigberFerrofamil2005:RFISuppInSLC,
author = {Reigber, A. and Ferro-Famil, L.},
title = {Interference suppression in synthesized SAR images},
journal = {Geoscience and Remote Sensing Letters, IEEE},
year = {2005},
volume = {2},
pages = {45--49},
number = {1},
abstract = {Radio interferences are becoming more and more an important source for image degradation in synthetic aperture radar (SAR) imaging. Especially at longer wavelengths, interferences are often very strong, and their suppression is required during data processing. However, at shorter wavelengths, interferences are often not obvious in the image amplitude, and filtering is not performed in an operational way. Nevertheless, interferences might significantly degrade the image phase, and the estimation of sensitive parameters like interferometric coherence or polarimetric descriptors becomes imprecise. Interference suppression is usually performed on the raw data, which are in most cases not available to the end-user. In this letter, a new interference suppression method for focused SAR images is proposed. Its performance is tested on interferometric repeat-pass data acquired by the German Aerospace Agency's experimental SAR system (E-SAR) at L-band.},
keywords = {SAR Processsing, filtering theory, interference suppression, radar imaging, radar interference, synthetic aperture radar, German Aerospace Agency, L-Band, ESAR, SAR imaging, data processing, experimental SAR system, filtering theory, focused SAR images, SLC, image degradation, interferometric coherence, interferometric repeat-pass data, polarimetric descriptors, RFI Suppression, sensitive parameters estimation, synthetic aperture radar imaging},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/reigberFerrofamil2005.pdf},
url = {http://ieeexplore.ieee.org/iel5/8859/30115/01381346.pdf} 
}


  10. Brian D. Rigling and Randolph L. Moses. Taylor expansion of the differential range for monostatic SAR. Aerospace and Electronic Systems, IEEE Transactions on, 41(1):60--64, 2005.
    Keywords: SAR Processing, polynomial approximation, radar imaging, synthetic aperture radar, Taylor expansion, differential range, linear approximation, monostatic SAR, Polar Format Algorithm, second-order Taylor series approximation, Spotlight SAR.
    Abstract: The polar format algorithm (PFA) for spotlight synthetic aperture radar (SAR) is based on a linear approximation for the differential range to a scatterer. We derive a second-order Taylor series approximation of the differential range. We provide a simple and concise derivation of both the far-field linear approximation of the differential range, which forms the basis of the PFA, and the corresponding approximation limits based on the second-order terms of the approximation. 

    @ARTICLE{riglingMoses05:diffRange,
author = {Rigling, Brian D. and Moses, Randolph L.},
title = {Taylor expansion of the differential range for monostatic SAR},
journal = {Aerospace and Electronic Systems, IEEE Transactions on},
year = {2005},
volume = {41},
pages = {60--64},
number = {1},
abstract = {The polar format algorithm (PFA) for spotlight synthetic aperture radar (SAR) is based on a linear approximation for the differential range to a scatterer. We derive a second-order Taylor series approximation of the differential range. We provide a simple and concise derivation of both the far-field linear approximation of the differential range, which forms the basis of the PFA, and the corresponding approximation limits based on the second-order terms of the approximation.},
keywords = {SAR Processing, polynomial approximation, radar imaging, synthetic aperture radar, Taylor expansion, differential range, linear approximation, monostatic SAR, Polar Format Algorithm, second-order Taylor series approximation, Spotlight SAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/riglingMoses05.pdf},
url = {http://ieeexplore.ieee.org/iel5/7/30637/01413746.pdf} 
}


  11. Petre Stoica, Zhisong Wang, and Jian Li. Extended derivations of MUSIC in the presence of steering vector errors. IEEE Transactions on Signal Processing, 53(3):1209-1211, March 2005.
    Keywords: SAR Processing, MUSIC, MUltiple SIgnal Classifier, direction-of-arrival estimation, DOA, robustness to steering vector errors, extended derivation, steering vector error, SAR Tomography, Tomography, multi-baseline SAR, InSAR.
    Abstract: We present two extensions of MUSIC to the case in which the steering vector is imprecisely known and show that the extended methods lead to the same direction-of-arrival (DOA) estimates as MUSIC. This somewhat surprising result provides a more general motivation of MUSIC than those currently available and shows that MUSIC possesses a certain degree of inherent robustness to steering vector errors. 

    @ARTICLE{stoicaWangLi2005:musicDOARobust,
author = {Stoica, Petre and Zhisong Wang and Jian Li},
title = {Extended derivations of {MUSIC} in the presence of steering vector errors},
journal = {IEEE Transactions on Signal Processing},
year = {2005},
volume = {53},
pages = {1209-1211},
number = {3},
month = mar,
abstract = {We present two extensions of MUSIC to the case in which the steering vector is imprecisely known and show that the extended methods lead to the same direction-of-arrival (DOA) estimates as MUSIC. This somewhat surprising result provides a more general motivation of MUSIC than those currently available and shows that MUSIC possesses a certain degree of inherent robustness to steering vector errors.},
doi = {10.1109/TSP.2004.842201},
issn = {1053-587X},
keywords = {SAR Processing, MUSIC, MUltiple SIgnal Classifier, direction-of-arrival estimation, DOA, robustness to steering vector errors, extended derivation, steering vector error, SAR Tomography, Tomography, multi-baseline SAR, InSAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/stoicaWangLi2005.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1396448} 
}


Conference articles

  1. M. Blom and P. Follo. VHF SAR image formation implemented on a GPU. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS '05., volume 5, pages 3352-3356, July 2005.
    Keywords: SAR Processing, Time-Domain Back-Projection, TDBP, GPU, Graphic Processing Unit, GPU Processing, 3D Graphics Card, VHF, Airborne SAR, FOI, CARABAS.
    Abstract: This paper will describe how off-the-shelf 3D graphics cards can be used for scientific computation like SAR processing. In particular, a highly efficient one-dimensional FFT and a fast direct (global) backprojection implementation will be presented and analyzed. 

    @INPROCEEDINGS{blomFollo2005:TDPBonGPU,
author = { Blom, M. and Follo, P.},
title = {{VHF SAR image formation implemented on a GPU}},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS '05.},
year = {2005},
volume = {5},
pages = {3352-3356},
month = {July},
abstract = {This paper will describe how off-the-shelf 3D graphics 

cards can be used for scientific computation like SAR processing. 

In particular, a highly efficient one-dimensional FFT and a fast 

direct (global) backprojection implementation will be presented 

and analyzed.},
keywords = {SAR Processing, Time-Domain Back-Projection, TDBP, GPU, Graphic Processing Unit, GPU Processing, 3D Graphics Card, VHF, Airborne SAR, FOI, CARABAS},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/blomFollo2005.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1526560&isnumber=32599} 
}


  2. F. Bordoni, A. Jakobsson, F. Gini, and F. Lombardini. On the Effects of Nonuniform Sampling for Interferometric Phase Estimation in the Presence of Layover. In Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on, pages 645--650, July 17-20 2005. 
    @INPROCEEDINGS{Bordoni2005,
author = {Bordoni, F. and Jakobsson, A. and Gini, F. and Lombardini, F.},
title = {On the Effects of Nonuniform Sampling for Interferometric Phase Estimation in the Presence of Layover},
booktitle = {Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on},
year = {2005},
pages = {645--650},
month = {July 17-20},
owner = {ofrey} 
}


  3. Karlus A. Câmara de Macedo, Christian Andres, and Rolf Scheiber. On the requirements of SAR processing for airborne differential interferometry. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 4, pages 2693--2696, 25-29 July 2005.
    Keywords: SAR Processing, PTA-MoComp, Postprocessing, Motion Compensation, Topography-Based Motion Compensation, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, fast Fourier transform-based postprocessing methodology, FFT, D-InSAR, German Aerospace Center, DLR, airborne repeat-pass interferometry, differential interferometry, geometric fidelity, motion errors, phase accuracy, residual phase errors, topographic heights, Topography, DEM, Terrain, wide beamwidth, Airborne SAR, ESAR.
    Abstract: Airborne Differential SAR Interferometry (DInSAR) is still a challenging task when compared to the spaceborne case due to the fact that airborne platforms are unable to describe a stable flight track. For that reason a very precise motion compensation which includes the correction of topographic-induced phase errors has to be performed in the airborne SAR data. This paper presents the required steps of phase correction to achieve accurate airborne D-InSAR data. The latest airborne D-InSAR processing chain of the E-SAR system is shown. Differential interferograms results using the proposed processing chain are also shown. 

    @INPROCEEDINGS{macedoAndresScheiber2005:DInSAR,
author = {C\^amara de Macedo, Karlus A. and Andres, Christian and Scheiber, Rolf},
title = {{On the requirements of SAR processing for airborne differential interferometry}},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {4},
pages = {2693--2696},
month = {25-29 July},
abstract = {Airborne Differential SAR Interferometry (DInSAR) 

is still a challenging task when compared to the 

spaceborne case due to the fact that airborne platforms are 

unable to describe a stable flight track. For that reason a very 

precise motion compensation which includes the correction of 

topographic-induced phase errors has to be performed in the 

airborne SAR data. This paper presents the required steps of 

phase correction to achieve accurate airborne D-InSAR data. The 

latest airborne D-InSAR processing chain of the E-SAR system 

is shown. Differential interferograms results using the proposed 

processing chain are also shown.},
keywords = {SAR Processing, PTA-MoComp, Postprocessing, Motion Compensation, Topography-Based Motion Compensation, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, fast Fourier transform-based postprocessing methodology, FFT, D-InSAR, German Aerospace Center, DLR, airborne repeat-pass interferometry, differential interferometry, geometric fidelity, motion errors, phase accuracy, residual phase errors, topographic heights, Topography, DEM, Terrain, wide beamwidth, Airborne SAR, ESAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/macedoAndresScheiber2005.pdf},
url = {http://ieeexplore.ieee.org/iel5/10226/32598/01525621.pdf} 
}


  4. Armin W. Doerry. Autofocus correction of SAR images exhibiting excessive residual migration. In Robert N. Trebits and James L. Kurtz, editors, Proceedings of SPIE Vol. 5788, Radar Sensor Technology IX, volume 5788, pages 34-45, 2005. SPIE.
    Keywords: SAR Processing, Autofocus, Phase Gradient Autofocus.
    Abstract: Relatively small motion measurement errors manifest themselves principally as a phase error in Synthetic Aperture Radar (SAR) complex data samples, and if large enough become observable as a smearing, blurring, or other degradation in the image. The phase error function can be measured and then deconvolved from the original data to compensate for the presumed motion error, ultimately resulting in a well-focused image. Techniques that do this are termed ?autofocus? algorithms. A very popular autofocus algorithm is the Phase Gradient Autofocus (PGA) algorithm. The nearly universal, and typically reasonable, assumption is that the motion errors are less than the range resolution of the radar, allowing solely a phase correction to suffice. Very large relative motion measurement errors manifest themselves as an unexpected additional shifting or migration of target locations beyond any deterministic migration during the course of the synthetic aperture. Degradation in images from data exhibiting errors of this magnitude are substantial, often rendering the image completely useless. When residual range migration due to either real or apparent motion errors exceeds the range resolution, conventional autofocus algorithms fail. Excessive residual migration is increasingly encountered as resolutions become finer, less expensive inertial sensors are used, and operating ranges become longer (due to atmospheric phenomena). A new migration-correction autofocus algorithm has been developed that estimates the excessive residual migration and applies phase and frequency corrections to properly focus the image. This overcomes the conventional constraint that motion errors not exceed the SAR range resolution. 

    @INPROCEEDINGS{Doerry2005Autofocus,
author = {Armin W. Doerry},
title = {Autofocus correction of SAR images exhibiting excessive residual migration},
booktitle = {Proceedings of SPIE Vol. 5788, Radar Sensor Technology IX},
year = {2005},
editor = {Robert N. Trebits and James L. Kurtz},
volume = {5788},
number = {1},
pages = {34-45},
publisher = {SPIE},
abstract = {Relatively small motion measurement errors manifest themselves principally as a phase error in Synthetic Aperture 

Radar (SAR) complex data samples, and if large enough become observable as a smearing, blurring, or other 

degradation in the image. The phase error function can be measured and then deconvolved from the original data to 

compensate for the presumed motion error, ultimately resulting in a well-focused image. Techniques that do this are 

termed ?autofocus? algorithms. A very popular autofocus algorithm is the Phase Gradient Autofocus (PGA) algorithm. 

The nearly universal, and typically reasonable, assumption is that the motion errors are less than the range resolution 

of the radar, allowing solely a phase correction to suffice. 

Very large relative motion measurement errors manifest themselves as an unexpected additional shifting or migration 

of target locations beyond any deterministic migration during the course of the synthetic aperture. Degradation in 

images from data exhibiting errors of this magnitude are substantial, often rendering the image completely useless. 

When residual range migration due to either real or apparent motion errors exceeds the range resolution, conventional 

autofocus algorithms fail. 

Excessive residual migration is increasingly encountered as resolutions become finer, less expensive inertial sensors are 

used, and operating ranges become longer (due to atmospheric phenomena). 

A new migration-correction autofocus algorithm has been developed that estimates the excessive residual migration 

and applies phase and frequency corrections to properly focus the image. This overcomes the conventional constraint 

that motion errors not exceed the SAR range resolution.},
keywords = {SAR Processing, Autofocus, Phase Gradient Autofocus},
location = {Orlando, FL, USA},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/Doerry2005Autofocus.pdf},
url = {http://link.aip.org/link/?PSI/5788/34/1} 
}


  5. Armin W. Doerry, Dale F. Dubbert, Martin Thompson, and Vivian D. Gutierrez. A portfolio of fine resolution Ka-band SAR images: part I. In Robert N. Trebits and James L. Kurtz, editors, Proc. of SPIE Vol. 5788, Radar Sensor Technology IX, number 1, pages 13-24, 2005. SPIE.
    Keywords: SAR Processing, High Resolution, Fine Resolution, Sandia National Laboratoiries, Ka-Band.
    Abstract: Sandia National Laboratories designs and builds Synthetic Aperture Radar (SAR) systems capable of forming highquality exceptionally fine resolution images. During the spring of 2004 a series of test flights were completed with a Ka-band testbed SAR on Sandia?s DeHavilland DHC-6 Twin Otter aircraft. A large data set was collected including real-time fine-resolution images of a variety of target scenes. This paper offers a sampling of high quality images representative of the output of Sandia?s Ka-band testbed radar with resolutions as fine as 4 inches. Images will be annotated with descriptions of collection geometries and other relevant image parameters. 

    @INPROCEEDINGS{DoerryDubbertThompsonGutierrez2005:PartOne,
author = {Armin W. Doerry and Dale F. Dubbert and Martin Thompson and Vivian D. Gutierrez},
title = {A portfolio of fine resolution Ka-band SAR images: part I},
booktitle = {Proc. of SPIE Vol. 5788, Radar Sensor Technology IX},
year = {2005},
editor = {Robert N. Trebits and James L. Kurtz},
number = {1},
pages = {13-24},
publisher = {SPIE},
abstract = {Sandia National Laboratories designs and builds Synthetic Aperture Radar (SAR) systems capable of forming highquality 

exceptionally fine resolution images. During the spring of 2004 a series of test flights were completed with a 

Ka-band testbed SAR on Sandia?s DeHavilland DHC-6 Twin Otter aircraft. A large data set was collected including 

real-time fine-resolution images of a variety of target scenes. 

This paper offers a sampling of high quality images representative of the output of Sandia?s Ka-band testbed radar with 

resolutions as fine as 4 inches. Images will be annotated with descriptions of collection geometries and other relevant 

image parameters.},
keywords = {SAR Processing, High Resolution, Fine Resolution, Sandia National Laboratoiries, Ka-Band},
location = {Orlando, FL, USA},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/DoerryDubbertThompsonGutierrezPartOne2005.pdf},
url = {http://link.aip.org/link/?PSI/5788/13/1} 
}


  6. Armin W. Doerry, Dale F. Dubbert, Martin Thompson, and Vivian D. Gutierrez. A portfolio of fine resolution Ka-band SAR images: part II. In Robert N. Trebits and James L. Kurtz, editors, Proc. of SPIE Vol. 5788, Radar Sensor Technology IX, number 1, pages 185-196, 2005. SPIE.
    Keywords: SAR Processing, High Resolution, Fine Resolution, Sandia National Laboratoiries, Ka-Band.
    Abstract: Sandia National Laboratories designs and builds Synthetic Aperture Radar (SAR) systems capable of forming highquality exceptionally fine resolution images. During the spring of 2004 a series of test flights were completed with a Ka-band testbed SAR on Sandia?s DeHavilland DHC-6 Twin Otter aircraft. A large data set was collected including real-time fine-resolution images of a variety of target scenes. This paper offers a sampling of high quality images representative of the output of Sandia?s Ka-band testbed radar with resolutions as fine as 4 inches. Images will be annotated with descriptions of collection geometries and other relevant image parameters. 

    @INPROCEEDINGS{DoerryDubbertThompsonGutierrez2005:PartTwo,
author = {Armin W. Doerry and Dale F. Dubbert and Martin Thompson and Vivian D. Gutierrez},
title = {A portfolio of fine resolution Ka-band SAR images: part II},
booktitle = {Proc. of SPIE Vol. 5788, Radar Sensor Technology IX},
year = {2005},
editor = {Robert N. Trebits and James L. Kurtz},
number = {1},
pages = {185-196},
publisher = {SPIE},
abstract = {Sandia National Laboratories designs and builds Synthetic Aperture Radar (SAR) systems capable of forming highquality 

exceptionally fine resolution images. During the spring of 2004 a series of test flights were completed with a 

Ka-band testbed SAR on Sandia?s DeHavilland DHC-6 Twin Otter aircraft. A large data set was collected including 

real-time fine-resolution images of a variety of target scenes. 

This paper offers a sampling of high quality images representative of the output of Sandia?s Ka-band testbed radar with 

resolutions as fine as 4 inches. Images will be annotated with descriptions of collection geometries and other relevant 

image parameters.},
keywords = {SAR Processing, High Resolution, Fine Resolution, Sandia National Laboratoiries, Ka-Band},
location = {Orlando, FL, USA},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/DoerryDubbertThompsonGutierrezPartTwo2005.pdf},
url = {http://link.aip.org/link/?PSI/5788/185/1} 
}


  7. Othmar Frey, Erich Meier, and Daniel Nüesch. A Study on Integrated SAR Processing and Geocoding by Means of Time-Domain Backprojection. In Proceedings of the Int. Radar Symposium, Berlin, 2005.
    Keywords: SAR Processing, Time-Domain Backprojection, Backprojection, Geocoding, Radiometry, Calibration, Radiometric Calibration, ENVISAT/ASAR, Spaceborne SAR.
    Abstract: Geocoded products of synthetic aperture radar data are of great interest for many applications. The conventional processing chain, which leads to geographically referenced synthetic aperture data consists of two main steps: first, the raw data are focused and, in a second step, the resulting single look complex image is geocoded to the favoured coordinate system. We investigate a time-domain backprojection approach that replaces the two steps, focusing and geocoding, by one algorithm leading directly to terrain-geocoded images. The technique is evaluated with ENVISAT/ASAR image mode data. We assess the geolocation accuracy and the radiometric performance of dedicated point targets such as transponders and a corner reflector. In addition, we compare our findings with results from corresponding level 1 products processed at the European Space Agency (ESA), which were validated within the scope of ENVISAT/ASAR Cal/Val activities. 

    @INPROCEEDINGS{freyMeierNueschIRS05:StudyIntegratedBackproj,
author = {Othmar Frey and Erich Meier and Daniel N{\"u}esch},
title = {{A Study on Integrated SAR Processing and Geocoding by Means of Time-Domain Backprojection}},
booktitle = {Proceedings of the Int. Radar Symposium, Berlin},
year = {2005},
abstract = {Geocoded products of synthetic aperture radar data are of great interest for many applications. The conventional processing chain, which leads to geographically referenced synthetic aperture data consists of two main steps: first, the raw data are focused and, in a second step, the resulting single look complex image is geocoded to the favoured coordinate system. We investigate a time-domain backprojection approach that replaces the two steps, focusing and geocoding, by one algorithm leading directly to terrain-geocoded images. The technique is evaluated with ENVISAT/ASAR image mode data. We assess the geolocation accuracy and the radiometric performance of dedicated point targets such as transponders and a corner reflector. In addition, we compare our findings with results from corresponding level 1 products processed at the European Space Agency (ESA), which were validated within the scope of ENVISAT/ASAR Cal/Val activities.},
keywords = {SAR Processing, Time-Domain Backprojection, Backprojection, Geocoding, Radiometry, Calibration, Radiometric Calibration, ENVISAT/ASAR, Spaceborne SAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/myPublications/PAPERS/234_FreyMeierNuesch_IRS2005.pdf} 
}


  8. Othmar Frey, Erich Meier, and Daniel Nüesch. Processing SAR data of rugged terrain by time-domain back-projection. In SPIE Vol. 5980: SAR Image Analysis, Modeling, and Techniques X, 2005.
    Keywords: SAR Processing, Time-Domain Backprojection, Backprojection, Terrain Correction, Radiometry, Radiometric Calibration, Radiometric Correction, Terrain, Topography, DEM Geocoding, ENVISAT/ASAR, Spaceborne SAR.
    Abstract: Processing of SAR images of rugged terrain deserves special care because the topography affects the focused image in a number of ways. In order to obtain geometrically and radiometrically corrected SAR images of mountainous areas additional knowledge about the topography and the sensor's trajectory and attitude has to be included in the processing or post-processing steps. Various well-known focusing techniques are available to transform SAR raw data into a single look complex image such as the range-Doppler, the chirp scaling or the omega-k algorithm. While these algorithms perform the azimuth focusing step in the frequency domain the time-domain back-projection processing technique focuses the data geometrically, i.e., in the time domain. In contrast to the frequency-domain techniques, time-domain back-projection maintains the entire geometric relationship between the sensor and the illuminated area. This implies a couple of advantages: a stringent, terrain-based correction for the elevation antenna gain pattern may be implemented and topography-induced variation of radar brightness can be eliminated in a single step. Further, the SAR image is focused directly onto an arbitrary reconstruction grid and in the desired geodetic reference frame without requiring any additional processing steps. We discuss the influence of rugged terrain on the radiometric properties of focused SAR data and demonstrate how the time-domain back-projection approach accounts for these effects within one integrated processing framework by incorporating both a correction for terrain slope induced variation of radar brightness and a stringent correction for the elevation antenna gain pattern. The algorithm is evaluated for ENVISAT/ASAR image mode data of a mountainous area. 

    @INPROCEEDINGS{freyMeierNueeschSPIE2005:Backprojection,
author = {Othmar Frey and Erich Meier and Daniel N{\"u}esch},
title = {{Processing SAR data of rugged terrain by time-domain back-projection}},
booktitle = {SPIE Vol. 5980: SAR Image Analysis, Modeling, and Techniques X},
year = {2005},
abstract = {Processing of SAR images of rugged terrain deserves special care because the topography affects the focused image in a number of ways. In order to obtain geometrically and radiometrically corrected SAR images of mountainous areas additional knowledge about the topography and the sensor's trajectory and attitude has to be included in the processing or post-processing steps. Various well-known focusing techniques are available to transform SAR raw data into a single look complex image such as the range-Doppler, the chirp scaling or the omega-k algorithm. While these algorithms perform the azimuth focusing step in the frequency domain the time-domain back-projection processing technique focuses the data geometrically, i.e., in the time domain. In contrast to the frequency-domain techniques, time-domain back-projection maintains the entire geometric relationship between the sensor and the illuminated area. This implies a couple of advantages: a stringent, terrain-based correction for the elevation antenna gain pattern may be implemented and topography-induced variation of radar brightness can be eliminated in a single step. Further, the SAR image is focused directly onto an arbitrary reconstruction grid and in the desired geodetic reference frame without requiring any additional processing steps. We discuss the influence of rugged terrain on the radiometric properties of focused SAR data and demonstrate how the time-domain back-projection approach accounts for these effects within one integrated processing framework by incorporating both a correction for terrain slope induced variation of radar brightness and a stringent correction for the elevation antenna gain pattern. The algorithm is evaluated for ENVISAT/ASAR image mode data of a mountainous area.},
keywords = {SAR Processing, Time-Domain Backprojection, Backprojection, Terrain Correction, Radiometry, Radiometric Calibration, Radiometric Correction, Terrain, Topography, DEM Geocoding, ENVISAT/ASAR, Spaceborne SAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/myPublications/PAPERS/FreyMeierNueesch_SPIE2005.pdf},
url = {http://spiedl.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=PSISDG005980000001598007000001&idtype=cvips&prog=normal} 
}


  9. U. Gebhardt, Ottmar Loffeld, H. Nies, S. Knedlik, and Joachim H. G. Ender. Bistatic airborne/spaceborne hybrid experiment: basic considerations. In Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda, editors, Proc. of SPIE Vol.5978, Sensors, Systems, and Next-Generation Satellites IX, number 1, 2005. SPIE.
    Keywords: SAR Processing, Bistatic SAR, Hybrid Bistatic SAR, Bistatic Airborne/Spaceborne SAR, Airborne SAR, Spaceborne SAR, Hybrid, Spotlight Mode, Sliding Spotlight Mode, Simulation, TerraSAR-X.
    Abstract: Collecting data using different sensors mounted on different platforms is the challenge of multisensorics. Applications in Synthetic Aperture Radar (SAR) normally lead to extreme bi- or multistatic constellations in the multisensorial case. This paper describes basic considerations concerning the geometry, especially the antenna steering for a bistatic SAR experiment. Using the TerraSAR-X as a transmitter and a SAR system mounted on a plane as a receiver we want to record experimental raw data for further processing. Because of the high difference between the velocity of the transmitter platform and that of the receiver platform relative to a point target, stripmap mode is not useful in this case. By operating the transmitter in sliding spotlight or spotlight mode and using antenna steering to provide footprint chasing on the side of the receiving system, a useful scene extension in azimuth can be achieved. This is of course at the cost of a shorter time interval in which the point target is both illuminated by the transmitter and seen by the receiver. First simulations of a point target response will show that nevertheless we can expect a useful Doppler bandwidth and thus an adequate resolution in azimuth. 

    @INPROCEEDINGS{GebhardtLoffeldNiesKnedlikEnder2005,
author = {U. Gebhardt and Ottmar Loffeld and H. Nies and S. Knedlik and Joachim H. G. Ender},
title = {Bistatic airborne/spaceborne hybrid experiment: basic considerations},
booktitle = {Proc. of SPIE Vol.5978, Sensors, Systems, and Next-Generation Satellites IX},
year = {2005},
editor = {Roland Meynart and Steven P. Neeck and Haruhisa Shimoda},
number = {1},
publisher = {SPIE},
abstract = {Collecting data using different sensors mounted on different platforms is the challenge of multisensorics. Applications in Synthetic Aperture Radar (SAR) normally lead to extreme bi- or multistatic constellations in the multisensorial case. This paper describes basic considerations concerning the geometry, especially the antenna steering for a bistatic SAR experiment. Using the TerraSAR-X as a transmitter and a SAR system mounted on a plane as a receiver we want to record experimental raw data for further processing. Because of the high difference between the velocity of the transmitter platform and that of the receiver platform relative to a point target, stripmap mode is not useful in this case. By operating the transmitter in sliding spotlight or spotlight mode and using antenna steering to provide footprint chasing on the side of the receiving system, a useful scene extension in azimuth can be achieved. This is of course at the cost of a shorter time interval in which the point target is both illuminated by the transmitter and seen by the receiver. First simulations of a point target response will show that nevertheless we can expect a useful Doppler bandwidth and thus an adequate resolution in azimuth.},
keywords = {SAR Processing, Bistatic SAR, Hybrid Bistatic SAR, Bistatic Airborne/Spaceborne SAR, Airborne SAR, Spaceborne SAR, Hybrid, Spotlight Mode, Sliding Spotlight Mode, Simulation, TerraSAR-X},
location = {Brugge, Belgium},
numpages = {10},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/GebhardtLoffeldNiesKnedlikEnder2005.pdf},
url = {http://link.aip.org/link/?PSI/5978/59781M/1} 
}


  10. Stéphane Guillaso and Andreas Reigber. Polarimetric SAR Tomography (POLTOMSAR). In Proceedings of POLINSAR'05, Frascati, Italy, 2005.
    Keywords: SAR Processing, SAR Tomography, Tomography, MUSIC, Beamforming, Capon, Modified MUSIC, DoA, Direction of Arrival, Fourier, Pol-InSAR, L-Band, ESAR.
    Abstract: In this paper, different approaches of airborne SAR tomography are presented. A SAR tomographic data acquisition system can be represented like an antenna array. The use of high-resolution methods is indicated to the concept of aperture synthesis for 3D-imaging using SAR data. Techniques presented are the standard Fourier-, Capon-based beamforming methods to improve the resolution quality. In order to estimate the nature of retrieved target, a polarimetric approach is introduced based on the modified high-resolution MUSIC algorithm. Finally, experimental results are shown using a multibaseline data set acquired in L-band by DLR?s experimental SAR (E-SAR) on a test site near Oberpfaffenhofen / Germany. 

    @INPROCEEDINGS{guillasoReigber05:TomoSAR,
author = {St\'ephane Guillaso and Andreas Reigber},
title = {{Polarimetric SAR Tomography (POLTOMSAR)}},
booktitle = {Proceedings of POLINSAR'05},
year = {2005},
address = {Frascati, Italy},
abstract = {In this paper, different approaches of airborne SAR tomography are presented. A SAR tomographic data acquisition system can be represented like an antenna array. The use of high-resolution methods is indicated to the concept of aperture synthesis for 3D-imaging using SAR data. Techniques presented are the standard Fourier-, Capon-based beamforming methods to improve the resolution quality. In order to estimate the nature of retrieved target, a polarimetric approach is introduced based on the modified high-resolution MUSIC algorithm. Finally, experimental results are shown using a multibaseline data set acquired in L-band by DLR?s experimental SAR (E-SAR) on a test site near Oberpfaffenhofen / Germany.},
keywords = {SAR Processing, SAR Tomography, Tomography, MUSIC, Beamforming, Capon, Modified MUSIC, DoA, Direction of Arrival, Fourier, Pol-InSAR, L-Band,ESAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/guillasoReigber05PolInSAR.pdf} 
}


  11. S. Guillaso and A. Reigber. Scatterer characterisation using polarimetric SAR tomography. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 4, pages 2685--2688, 25-29 July 2005. 
    @INPROCEEDINGS{Guillaso2005a,
author = {Guillaso, S. and Reigber, A.},
title = {Scatterer characterisation using polarimetric SAR tomography},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {4},
pages = {2685--2688},
month = {25-29 July},
owner = {ofrey},
timestamp = {2009.07.01} 
}


  12. S. Guillaso, A. Reigber, and L. Ferro-Famil. Evaluation of the ESPRIT approach in polarimetric interferometric SAR. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 1, pages 4 pp., 2005.
    Keywords: SAR Processing, SAR Tomography, Tomography, airborne radar, data acquisition, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, stereo image processing, synthetic aperture radar, tomography, vegetation mapping, 3D images, ESPRIT approach, German Aerospace Center, SAR tomography, airborne L-band repeat-pass interferometric data, data acquisition, experimental airborne SAR, polarimetric interferometric SAR, tomographic image, vegetation, volumetric area, E-SAR.
    Abstract: This paper presents a first evaluation of the ESPRIT approach in polarimetric interferometric SAR. This evaluation is carried out by using 3D images obtained by SAR tomographic like an alternative to the acquisition of ground-truth data, which is an extremely complex task in the case of volume areas. All parameters over a volumetric area are directly visible in a tomographic image and can, therefore, be employed to validate the ESPRIT approach by comparing parameters generated by ESPRIT and the SAR tomography approach. This allows to identify the principal deficiencies of the ESPRIT method, which occur over high vegetation areas, where there is a misinterpretation of the ESPRIT results. Whereas, the ESPRIT approach is useful for building characterisation, identifying a good applicability area. Airborne L-band repeat-pass interferometric data of the German Aerospace Center (DLR) experimental airborne SAR are used to perform this evaluation. 

    @INPROCEEDINGS{guillasoReigberFerroFamil05:Tomo,
author = {Guillaso, S. and Reigber, A. and Ferro-Famil, L.},
title = {Evaluation of the ESPRIT approach in polarimetric interferometric SAR},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {1},
pages = {4 pp.},
abstract = {This paper presents a first evaluation of the ESPRIT approach in polarimetric interferometric SAR. This evaluation is carried out by using 3D images obtained by SAR tomographic like an alternative to the acquisition of ground-truth data, which is an extremely complex task in the case of volume areas. All parameters over a volumetric area are directly visible in a tomographic image and can, therefore, be employed to validate the ESPRIT approach by comparing parameters generated by ESPRIT and the SAR tomography approach. This allows to identify the principal deficiencies of the ESPRIT method, which occur over high vegetation areas, where there is a misinterpretation of the ESPRIT results. Whereas, the ESPRIT approach is useful for building characterisation, identifying a good applicability area. Airborne L-band repeat-pass interferometric data of the German Aerospace Center (DLR) experimental airborne SAR are used to perform this evaluation.},
keywords = {SAR Processing, SAR Tomography,Tomography, airborne radar, data acquisition, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, stereo image processing, synthetic aperture radar, tomography, vegetation mapping, 3D images, ESPRIT approach, German Aerospace Center, SAR tomography, airborne L-band repeat-pass interferometric data, data acquisition, experimental airborne SAR, polarimetric interferometric SAR, tomographic image, vegetation, volumetric area, E-SAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/guillasoReigberFerroFamilTomo05.pdf},
url = {http://ieeexplore.ieee.org/iel5/10226/32595/01526096.pdf} 
}


  13. V. C. Koo, T. S. Lim, and H. T. Chuah. A Comparison of Autofocus Algorithms for SAR Imagery. In Progress In Electromagnetics Research Symposium, volume 1, Hangzhou, China, pages 16--9, 2005.
    Keywords: SAR Processing, Autofocus, Motion Compensation, MoComp, Residual Motion Errors, Comparion of Algorithms, Comparison of Autofocus Algorithms, Airborne SAR, Phase Gradient Autofocus, PGA, Eigenvector Method, Maximum Likelihood Estimation.
    Abstract: A challenge in SAR system development involves compensation for nonlinear motion errors of the sensor platform. The uncompensated along-track motions can cause a severe loss of geometry accuracy and degrade SAR image quality. Autofocus techniques improve image focus by removing a large part of phase errors present after conventional motion compensation. It refers to the computer-automated error estimation and subsequent removal of the phase errors. Many autofocus algorithms have been proposed over the years, ranging from quantitative measurement of residual errors to qualitative visual comparison. However, due to the fact that different data sets and motion errors were employed, it is difficult to perform comparative studies on various algorithms. This paper compares and discusses some practical autofocus algorithms by using a common data set. Standard focal quality metrics are defined to measure how well an image is focused. Their implementation schemes and performance are evaluated in the presence of various phase errors, which include polynomial-like, high frequency sinusoidal, and random phase noise. 

    @INPROCEEDINGS{kooLimChuah2005:AutofocusComparison,
author = {Koo, V. C. and Lim, T. S. and Chuah, H. T.},
title = {{A Comparison of Autofocus Algorithms for SAR Imagery}},
booktitle = {Progress In Electromagnetics Research Symposium},
year = {2005},
volume = {1},
pages = {16--9},
address = {Hangzhou, China},
abstract = {A challenge in SAR system development involves compensation for nonlinear motion errors of the sensor platform. The uncompensated along-track motions can cause a severe loss of geometry accuracy and degrade SAR image quality. Autofocus techniques improve image focus by removing a large part of phase errors present after conventional motion compensation. It refers to the computer-automated error estimation and subsequent removal of the phase errors. Many autofocus algorithms have been proposed over the years, ranging from quantitative measurement of residual errors to qualitative visual comparison. However, due to the fact that different data sets and motion errors were employed, it is difficult to perform comparative studies on various algorithms. This paper compares and discusses some practical autofocus algorithms by using a common data set. Standard focal quality metrics are defined to measure how well an image is focused. Their implementation schemes and performance are evaluated in the presence of various phase errors, which include polynomial-like, high frequency sinusoidal, and random phase noise.},
keywords = {SAR Processing, Autofocus, Motion Compensation, MoComp, Residual Motion Errors, Comparion of Algorithms, Comparison of Autofocus Algorithms, Airborne SAR, Phase Gradient Autofocus, PGA,Eigenvector Method, Maximum Likelihood Estimation},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/kooLimChuah2005.pdf},
url = {http://piers.mit.edu/piersonline/pdf/Vol1No1Page16to19.pdf} 
}


  14. Shu Li and Ian Cumming. Improved beat frequency estimation in the MLBF Doppler ambiguity resolver. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 5, pages 3348--3351, 2005.
    Keywords: SAR Processing, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, MLBF, Multilook Beat Frequency, Improved Multilook Beat Frequency.
    Abstract: Among the current Doppler ambiguity resolvers, the Multi-Look Beat frequency (MLBF) algorithm proves to be the most reliable one, especially in high contrast areas. The existing MLBF algorithm uses FFTs to measure the central frequency of the beat signal but the estimation accuracy is limited by quantization errors. This paper proposes an improved method of estimating the beat frequency in the MLBF algorithm that is based on phase increments. In our work, we examined five established frequency estimators and found that the Iterative Linear Prediction (ILP) method has the best performance. The experimental results on RADARSAT-1 data show that the new MLBF algorithm using ILP can obtain the correct ambiguity number in a higher percentage of blocks and that the RMS error of the results is less than half that of the existing method. 

    @INPROCEEDINGS{liCumming2005:DopAmb,
author = {Li, Shu and Cumming, Ian},
title = {Improved beat frequency estimation in the MLBF Doppler ambiguity resolver},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {5},
pages = {3348--3351},
abstract = {Among the current Doppler ambiguity resolvers, the 

Multi-Look Beat frequency (MLBF) algorithm proves to be the 

most reliable one, especially in high contrast areas. The existing 

MLBF algorithm uses FFTs to measure the central frequency of 

the beat signal but the estimation accuracy is limited by 

quantization errors. This paper proposes an improved method of 

estimating the beat frequency in the MLBF algorithm that is 

based on phase increments. In our work, we examined five 

established frequency estimators and found that the Iterative 

Linear Prediction (ILP) method has the best performance. The 

experimental results on RADARSAT-1 data show that the new 

MLBF algorithm using ILP can obtain the correct ambiguity 

number in a higher percentage of blocks and that the RMS error 

of the results is less than half that of the existing method.},
keywords = {SAR Processing, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, MLBF, Multilook Beat Frequency, Improved Multilook Beat Frequency},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/liCumming2005.pdf},
url = {http://ieeexplore.ieee.org/iel5/10226/32599/01526559.pdf} 
}


  15. F. Lombardini. Analysis of non-gaussian speckle statistics in high-resolution SAR images. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 2, pages 1337--1340, 25-29 July 2005. 
    @INPROCEEDINGS{Lombardini2005,
author = {Lombardini, F.},
title = {Analysis of non-gaussian speckle statistics in high-resolution SAR images},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {2},
pages = {1337--1340},
month = {25-29 July},
doi = {10.1109/IGARSS.2005.1525368},
owner = {ofrey} 
}


  16. F. Lombardini and G. Fornaro. First trials of fourier and adaptive tomo-doppler sar imaging. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 4, pages 2656--2659, 25-29 July 2005. 
    @INPROCEEDINGS{Lombardini2005a,
author = {Lombardini, F. and Fornaro, G.},
title = {First trials of fourier and adaptive tomo-doppler sar imaging},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {4},
pages = {2656--2659},
month = {25-29 July},
owner = {ofrey},
timestamp = {2007.10.11} 
}


  17. C. Lopez-Martinez and E. Pottier. Topography independent InSAR coherence estimation in a multiresolution scheme. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS'05, volume 4, pages 2689-2692, July 2005.
    Keywords: SAR Processing, Coherence, Coherence Estimation, InSAR, Interferometry, SAR Interferometry, Speckle Noise, Wavelet Transform. 
    @INPROCEEDINGS{lopezMartinezPottier2005:Coherence,
author = {Lopez-Martinez, C. and Pottier, E.},
title = {Topography independent InSAR coherence estimation in a multiresolution scheme},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS'05},
year = {2005},
volume = {4},
pages = { 2689-2692},
month = {July},
keywords = {SAR Processing, Coherence, Coherence Estimation,InSAR, Interferometry, SAR Interferometry, Speckle Noise, Wavelet Transform},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/lopezMartinezPottier2005.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=01525620} 
}


  18. Andreas Muschinski, Fred M. Dickey, and Armin W. Doerry. Possible effects of clear-air refractive-index perturbations on SAR images. In Robert N. Trebits and James L. Kurtz, editors, Proc. of SPIE Vol. 5788, Radar Sensor Technology IX, number 1, pages 25-33, 2005. SPIE.
    Keywords: SAR Processing, Atmospheric Modelling, clear-air radar, thin-lens approximation, clear-air refractive index, sheets, gravity waves, diffraction patterns.
    Abstract: Airborne synthetic aperture radar (SAR) imaging systems have reached a degree of accuracy and sophistication that requires the validity of the free-space approximation for radio-wave propagation to be questioned. Based on the thin-lens approximation, a closed-form model for the focal length of a gravity wave-modulated refractive-index interface in the lower troposphere is developed. The model corroborates the suggestion that mesoscale, quasi-deterministic variations of the clear-air radio refractive-index field can cause diffraction patterns on the ground that are consistent with reflectivity artifacts occasionally seen in SAR images, particularly in those collected at long ranges, short wavelengths, and small grazing angles. 

    @INPROCEEDINGS{MuschinskiDickeyDoerry2005,
author = {Andreas Muschinski and Fred M. Dickey and Armin W. Doerry},
title = {Possible effects of clear-air refractive-index perturbations on SAR images},
booktitle = {Proc. of SPIE Vol. 5788, Radar Sensor Technology IX},
year = {2005},
editor = {Robert N. Trebits and James L. Kurtz},
number = {1},
pages = {25-33},
publisher = {SPIE},
abstract = {Airborne synthetic aperture radar (SAR) imaging systems have reached a degree of accuracy and sophistication that requires the validity of the free-space approximation for radio-wave propagation to be questioned. Based on the thin-lens approximation, a closed-form model for the focal length of a gravity wave-modulated refractive-index interface in the lower troposphere is developed. The model corroborates the suggestion that mesoscale, quasi-deterministic variations of the clear-air radio refractive-index field can cause diffraction patterns on the ground that are consistent with reflectivity artifacts occasionally seen in SAR images, particularly in those collected at long ranges, short wavelengths, and small grazing angles.},
keywords = {SAR Processing, Atmospheric Modelling, clear-air radar, thin-lens approximation, clear-air refractive index, sheets, gravity waves, diffraction patterns},
location = {Orlando, FL, USA},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/MuschinskiDickeyDoerry2005.pdf},
url = {http://link.aip.org/link/?PSI/5788/25/1} 
}


  19. P. Prats, A. Reigber, and J.J. Mallorqui. Topography accommodation during motion compensation in interferometric repeat-pass SAR images. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 1, pages 4pp., 25-29 July 2005.
    Keywords: SAR Processing, Motion Compensation, Topography-Based Motion Compensation, ESAR, L-Band, Airborne SAR, radar imaging, synthetic aperture radar, Topography, German Aerospace Center E-SAR, DLR, SAR data processing, airborne L-band repeat-pass interferometric data, Interferometry, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, azimuth compression, azimuth coregistration errors, external digital elevation model, DEM, image enhancement, image registration, impulse response degradation, phase artifacts, repeat-pass interferometric SAR systems, Calibration, image registration, repeat-pass interferometry. 
    @INPROCEEDINGS{PratsReigberMallorqui2005a:MoComp,
author = {Prats, P. and Reigber, A. and Mallorqui, J.J.},
title = {Topography accommodation during motion compensation in interferometric repeat-pass SAR images},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {1},
pages = {4pp.},
month = {25-29 July},
keywords = {SAR Processing, Motion Compensation,Topography-Based Motion Compensation, ESAR, L-Band, Airborne SAR, radar imaging, synthetic aperture radar, Topography, German Aerospace Center E-SAR, DLR, SAR data processing, airborne L-band repeat-pass interferometric data, Interferometry, Chirp Scaling Algorithm, Extended Chirp Scaling Algorithm, azimuth compression, azimuth coregistration errors, external digital elevation model, DEM, image enhancement, image registration, impulse response degradation, phase artifacts, repeat-pass interferometric SAR systems, Calibration, image registration, repeat-pass interferometry},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/PratsReigberMallorqui2005a.pdf},
url = {http://ieeexplore.ieee.org/iel5/10226/32595/01526174.pdf} 
}


  20. A. Reigber, M. Neumann, S. Guillaso, S. Sauer, and L. Ferro-Famil. Evaluating PolInSAR parameter estimation using tomographic imaging results. In Radar Conference, 2005. EURAD 2005. European, pages 189--192, 2005.
    Keywords: SAR Processing, SAR Tomography, Tomography, forestry, matrix algebra, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, tomography, vegetation mapping, PolInSAR parameter estimation, canopy, forest height, ground topography estimation, polarimetric SAR interferometry, tomographic imaging results.
    Abstract: This paper concentrates on the forest height and ground topography estimation by means of polarimetric SAR interferometry and tomography. In polarimetric SAR interferometry, one of the most important methods described in literature is the line-fitting approach in the complex unitary circle (S.R. Cloude and K.P. Papathanassiou, 2003). Although it has shown their principal potential, an open issue is still the precise validation of the estimated parameters, as ground-truth collection is an extremely complex task in the case of forest parameters. SAR tomography is an alternative technique, which generates a fully three-dimensional representation of the imaged scene through coherent combination of a greater number of tracks (A. Reigber and A. Moreira, 2000) (S. Guillaso and A. Reigber, 2005). Forest ground and canopy are directly visible in a tomographic image; a tomographic image can therefore be used as an ideal validation base for PolInSAR forest parameter estimation. This paper compares high-resolution polarimetric SAR tomograms with PolInSAR forest height estimations, both derived from the same data set. This allows to identify areas of good applicability, as well as principal deficiencies of the different PolInSAR approaches. 

    @INPROCEEDINGS{reigberNeumannGuillasoSauerFerroFamil05:Tomo,
author = {Reigber, A. and Neumann, M. and Guillaso, S. and Sauer, S. and Ferro-Famil, L.},
title = {Evaluating PolInSAR parameter estimation using tomographic imaging results},
booktitle = {Radar Conference, 2005. EURAD 2005. European},
year = {2005},
pages = {189--192},
abstract = {This paper concentrates on the forest height and ground topography estimation by means of polarimetric SAR interferometry and tomography. In polarimetric SAR interferometry, one of the most important methods described in literature is the line-fitting approach in the complex unitary circle (S.R. Cloude and K.P. Papathanassiou, 2003). Although it has shown their principal potential, an open issue is still the precise validation of the estimated parameters, as ground-truth collection is an extremely complex task in the case of forest parameters. SAR tomography is an alternative technique, which generates a fully three-dimensional representation of the imaged scene through coherent combination of a greater number of tracks (A. Reigber and A. Moreira, 2000) (S. Guillaso and A. Reigber, 2005). Forest ground and canopy are directly visible in a tomographic image; a tomographic image can therefore be used as an ideal validation base for PolInSAR forest parameter estimation. This paper compares high-resolution polarimetric SAR tomograms with PolInSAR forest height estimations, both derived from the same data set. This allows to identify areas of good applicability, as well as principal deficiencies of the different PolInSAR approaches.},
keywords = {SAR Processing, SAR Tomography, Tomography, forestry, matrix algebra, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, tomography, vegetation mapping, PolInSAR parameter estimation, canopy, forest height, ground topography estimation, polarimetric SAR interferometry, tomographic imaging results},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/reigberNeumannGuillasoSauerFerroFamilTomo05.pdf},
url = {http://ieeexplore.ieee.org/iel5/10685/33742/01605597.pdf} 
}


  21. A. Reigber, P. Prats, and J.J. Mallorqui. Refined estimation of time-varying baseline errors in airborne SAR interferometry. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 7, pages 4799--4802, 25-29 July 2005.
    Keywords: SAR Processing, Airborne SAR, calibration, Interferometry, L-Band, Baseline refinement, calibration, interferometry, InSAR, Motion Compensation, repeat-pass interferometry, Residual Motion Errors, RME, Squinted SAR, Multi-Squint Processing. 
    @INPROCEEDINGS{ReigberPratsMallorqui2005:MoComp,
author = {Reigber, A. and Prats, P. and Mallorqui, J.J.},
title = {Refined estimation of time-varying baseline errors in airborne SAR interferometry},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {7},
pages = {4799--4802},
month = {25-29 July},
keywords = {SAR Processing, Airborne SAR, calibration, Interferometry, L-Band, Baseline refinement, calibration, interferometry,InSAR, Motion Compensation, repeat-pass interferometry, Residual Motion Errors, RME, Squinted SAR, Multi-Squint Processing},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/ReigberPratsMallorqui2005.pdf},
url = {http://ieeexplore.ieee.org/iel5/8859/33327/01576708.pdf} 
}


  22. J. Sanz-Marcos, P. Prats, and J.J. Mallorqui. Bistatic fixed-receiver parasitic SAR processor based on the back-propagation algorithm. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 2, pages 1056--1059, 25-29 July 2005. 
    @INPROCEEDINGS{SanzMarcosPratsMallorqui2005:Bistatic,
author = {Sanz-Marcos, J. and Prats, P. and Mallorqui, J.J.},
title = {Bistatic fixed-receiver parasitic SAR processor based on the back-propagation algorithm},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {2},
pages = {1056--1059},
month = {25-29 July},
doi = {10.1109/IGARSS.2005.1525296},
owner = {ofrey},
timestamp = {2007.08.14} 
}


  23. F. Serafino, F. Soldovieri, F. Lombardini, and G. Fornaro. Singular value decomposition applied to 4D SAR imaging. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 4, pages 2701--2704, 25-29 July 2005. 
    @INPROCEEDINGS{Serafino2005,
author = {Serafino, F. and Soldovieri, F. and Lombardini, F. and Fornaro, G.},
title = {Singular value decomposition applied to 4D SAR imaging},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {4},
pages = {2701--2704},
month = {25-29 July},
owner = {ofrey},
timestamp = {2007.10.11} 
}


  24. G. Shippey, S. Banks, and J. Pihl. SAS image reconstruction using Fast Polar Back Projection: comparisons with Fast Factored Back Projection and Fourier-domain imaging. In Oceans 2005 - Europe, volume 1, pages 96-101 Vol. 1, June 2005.
    Keywords: SAR Processing, Time-Domain Back-Projection, TDBP, Fast-Factorized Back-Projection, FFBP, Fast Polar Back-Projection, FPBP, fast Fourier transforms, image reconstruction, radar imaging, sonar imaging, synthetic aperture radar, synthetic aperture sonar FFBP, FPBP, Fast Factored Back Projection, Fast Polar Back Projection, Fourier-domain imaging, SAS image reconstruction, Synthetic Aperture Radar, Synthetic Aperture Sonar, autopositioning purposes, azimuth sidelobe level, computation time reduction, intermediate physical aperture images, multielement sonar arrays, nonlinear platform trajectories, preset approximation error, review, standard FFT-based method, time-domain methods, ultra-wideband airborne SAR, wide bandwidths, wide swaths.
    Abstract: Fast Polar Back-Projection (FPBP) is a variant of the Fast-Factored Back-Projection (FFBP) algorithm, originally developed for ultra-wideband airborne Synthetic Aperture Radar (SAR), but since applied with success to Synthetic Aperture Sonar (SAS). The paper outlines the FPBP and FFBP algorithms, comparing computation time and memory requirements for the two methods. Processing time comparisons with a standard FFT-based method are also given. Since FFBP and FPBP are both approximation methods, computation time also depends on the preset approximation error, which particularly affects azimuth sidelobe level. The paper provides an opportunity to review speed and accuracy estimates made in previous literature. However reduction in computation time is not the decisive advantage of these time-domain methods. The difference from the FFT-based methods lies in the flexibility with which nonlinear platform trajectories, wide swaths, wide bandwidths, and multielement sonar arrays can be handled. It is also straightforward to obtain a set of intermediate physical aperture images for autopositioning purposes. 

    @INPROCEEDINGS{ShippeyBanksPihl2005:FastBackprojection,
author = {Shippey, G. and Banks, S. and Pihl, J.},
title = {SAS image reconstruction using Fast Polar Back Projection: comparisons with Fast Factored Back Projection and Fourier-domain imaging},
booktitle = {Oceans 2005 - Europe},
year = {2005},
volume = {1},
pages = { 96-101 Vol. 1},
month = {June},
abstract = {Fast Polar Back-Projection (FPBP) is a variant of the Fast-Factored Back-Projection (FFBP) algorithm, originally developed for ultra-wideband airborne Synthetic Aperture Radar (SAR), but since applied with success to Synthetic Aperture Sonar (SAS). The paper outlines the FPBP and FFBP algorithms, comparing computation time and memory requirements for the two methods. Processing time comparisons with a standard FFT-based method are also given. Since FFBP and FPBP are both approximation methods, computation time also depends on the preset approximation error, which particularly affects azimuth sidelobe level. The paper provides an opportunity to review speed and accuracy estimates made in previous literature. However reduction in computation time is not the decisive advantage of these time-domain methods. The difference from the FFT-based methods lies in the flexibility with which nonlinear platform trajectories, wide swaths, wide bandwidths, and multielement sonar arrays can be handled. It is also straightforward to obtain a set of intermediate physical aperture images for autopositioning purposes.},
doi = {10.1109/OCEANSE.2005.1511691},
issn = { },
keywords = {SAR Processing, Time-Domain Back-Projection,TDBP, Fast-Factorized Back-Projection, FFBP, Fast Polar Back-Projection,FPBP, fast Fourier transforms, image reconstruction, radar imaging, sonar imaging, synthetic aperture radar, synthetic aperture sonar FFBP, FPBP, Fast Factored Back Projection, Fast Polar Back Projection, Fourier-domain imaging, SAS image reconstruction, Synthetic Aperture Radar, Synthetic Aperture Sonar, autopositioning purposes, azimuth sidelobe level, computation time reduction, intermediate physical aperture images, multielement sonar arrays, nonlinear platform trajectories, preset approximation error, review, standard FFT-based method, time-domain methods, ultra-wideband airborne SAR, wide bandwidths, wide swaths},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/ShippeyBanksPihl2005.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1511691&isnumber=32366} 
}


  25. Zhigang Su, Yingning Peng, and Xiutan Wang. Non-Iterative Imaging Algorithm for CLSAR. In Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on, volume 2, pages 577--580, 2005.
    Keywords: SAR Processing, Non-Linear Flight Path, SAR Tomography, Curvilinear SAR,.
    Abstract: Curvilinear synthetic aperture radar (CLSAR), which aperture is formed via a curvilinear trajectory, is considered as a more practical three-dimensional (3-D) imaging system. The 3-D images obtained by using non-parametricmethods, however, have little practical use because the data collected by CLSAR is sparse in the 3-D frequency space. Some parametric methods have been successfully applied into CLSAR for imaging but have expensive computational cost since they are iteration methods. In this paper, a non-iterative imaging (NII) algorithm is proposed. The new algorithm estimates the range parameters of all scatterers via modern spectrum method, and then using these range estimates and the received data to form the two-dimensional (2-D) data slices, from which the cross-range parameters are estimated. Once the position (range and cross-range) estimates are obtained, the radar cross section (RCS) can be calculated from the data. Simulation results show that the new algorithm can efficiently form the target’s 3-D image via CLSAR. 

    @INPROCEEDINGS{suPengWang2005b:NonLinearSARTomo,
author = {Su, Zhigang and Peng, Yingning and Wang, Xiutan},
title = {{Non-Iterative Imaging Algorithm for CLSAR}},
booktitle = {Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on},
year = {2005},
volume = {2},
pages = {577--580},
abstract = {Curvilinear synthetic aperture radar (CLSAR), which aperture 

is formed via a curvilinear trajectory, is considered as 

a more practical three-dimensional (3-D) imaging system. 

The 3-D images obtained by using non-parametricmethods, 

however, have little practical use because the data collected 

by CLSAR is sparse in the 3-D frequency space. Some parametric 

methods have been successfully applied into CLSAR 

for imaging but have expensive computational cost since 

they are iteration methods. In this paper, a non-iterative 

imaging (NII) algorithm is proposed. The new algorithm 

estimates the range parameters of all scatterers via modern 

spectrum method, and then using these range estimates and 

the received data to form the two-dimensional (2-D) data 

slices, from which the cross-range parameters are estimated. 

Once the position (range and cross-range) estimates are obtained, 

the radar cross section (RCS) can be calculated from 

the data. Simulation results show that the new algorithm 

can efficiently form the target’s 3-D image via CLSAR.},
issn = {1520-6149},
keywords = {SAR Processing, Non-Linear Flight Path, SAR Tomography, Curvilinear SAR,},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/suPengWang2005b.pdf},
url = {http://ieeexplore.ieee.org/iel5/9711/30651/01415470.pdf} 
}


  26. Zhigang Su, Yingning Peng, and Xiutan Wang. Three-dimensional target features extraction in curvilinear SAR with aperture errors. In Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on, volume 2, pages 1227--1230, 2005.
    Keywords: SAR Processing, Non-Linear Flight Path, SAR Tomography, feature extraction, radar imaging, synthetic aperture radar, aperture errors compensation, curvilinear SAR, curvilinear synthetic aperture radar, inverse SAR, phase compensation technique, phase information, range information, reference bins, three-dimensional target features extraction.
    Abstract: In curvilinear synthetic aperture radar (SAR), it is difficult to compensate the curvilinear aperture errors. The algorithm proposed in this paper, based on the phase compensation technique in inverse SAR (ISAR), compensates the aperture errors by using the range and phase information in the reference bins. Consequently, the scatterers' three-dimensional (3-D) features are extracted from the compensated data. Simulation results show that the distribution obtained via the new algorithm, compared with the original distribution, only shifts in three-dimensional position without structure changing. So, the new algorithm is a novel 3-D features extraction algorithm for curvilinear SAR. 

    @INPROCEEDINGS{suPengWang2005:NonLinearSARTomo,
author = {Su, Zhigang and Peng, Yingning and Wang, Xiutan},
title = {Three-dimensional target features extraction in curvilinear SAR with aperture errors},
booktitle = {Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on},
year = {2005},
volume = {2},
pages = {1227--1230},
abstract = {In curvilinear synthetic aperture radar (SAR), it is difficult to compensate the curvilinear aperture errors. The algorithm proposed in this paper, based on the phase compensation technique in inverse SAR (ISAR), compensates the aperture errors by using the range and phase information in the reference bins. Consequently, the scatterers' three-dimensional (3-D) features are extracted from the compensated data. Simulation results show that the distribution obtained via the new algorithm, compared with the original distribution, only shifts in three-dimensional position without structure changing. So, the new algorithm is a novel 3-D features extraction algorithm for curvilinear SAR.},
keywords = {SAR Processing, Non-Linear Flight Path, SAR Tomography, feature extraction, radar imaging, synthetic aperture radar, aperture errors compensation, curvilinear SAR, curvilinear synthetic aperture radar, inverse SAR, phase compensation technique, phase information, range information, reference bins, three-dimensional target features extraction},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/suPengWang2005.pdf},
url = {http://ieeexplore.ieee.org/iel5/10481/33237/01567090.pdf} 
}


  27. Qulin Tan, Zhou Fu, Zhengjun Liu, and Jiping Hu. An experiment for high resolution airborne SAR imaging based on phase gradient autofocus. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 5, pages 3322--3324, 25-29 July 2005.
    Keywords: SAR Processing, Autofocus, Phase Gradient Autofocus. 
    @INPROCEEDINGS{Tan2005,
author = {Qulin Tan and Zhou Fu and Zhengjun Liu and Jiping Hu},
title = {An experiment for high resolution airborne SAR imaging based on phase gradient autofocus},
booktitle = {Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International},
year = {2005},
volume = {5},
pages = {3322--3324},
month = {25-29 July},
keywords = {SAR Processing, Autofocus, Phase Gradient Autofocus},
owner = {ofrey} 
}


  28. G.J. Vigurs, M.S. Wood, and M.L. Jarrett. Non-linear synthetic aperture radar techniques. In Radar Conference, 2005. EURAD 2005. European, pages 13--16, 6-7 Oct. 2005.
    Keywords: SAR Processing, Non-Linear Flight Path, Simulation, MTI, Moving Target Indication.
    Abstract: The Non-Linear Synthetic Aperture Radar (SAR) technique uses a combination of platform manoeuvre and novel processing to separate the effects of a target’s radial velocity and cross-range displacement, giving accurate estimates of both. The technique provides high resolution images free from the image distortion caused in conventional SAR imagery by moving targets, and allows the accurate target location of both stationary and moving objects. The technique also allows the platform to fly a wide range of planned and unplanned manoeuvres, improving platform survivability in potentially hostile environments. 

    @INPROCEEDINGS{vigursWoodJarrett2005:NonLinearSAR,
author = {Vigurs, G.J. and Wood, M.S. and Jarrett, M.L.},
title = {Non-linear synthetic aperture radar techniques},
booktitle = {Radar Conference, 2005. EURAD 2005. European},
year = {2005},
pages = {13--16},
month = {6-7 Oct.},
abstract = {The Non-Linear Synthetic Aperture Radar 

(SAR) technique uses a combination of platform manoeuvre 

and novel processing to separate the effects of a target’s 

radial velocity and cross-range displacement, giving 

accurate estimates of both. The technique provides high 

resolution images free from the image distortion caused in 

conventional SAR imagery by moving targets, and allows 

the accurate target location of both stationary and moving 

objects. The technique also allows the platform to fly a wide 

range of planned and unplanned manoeuvres, improving 

platform survivability in potentially hostile environments.},
keywords = {SAR Processing, Non-Linear Flight Path, Simulation, MTI, Moving Target Indication},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/vigursWoodJarrett2005.pdf},
url = {http://ieeexplore.ieee.org/iel5/10685/33742/01605552.pdf} 
}



BACK TO INDEX



Disclaimer:

Please note that access to full text PDF versions of papers is restricted to the Remote Sensing Laboratories of the University of Zürich.
Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.

This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.



Last modified: Wed Sep 8 19:32:46 2010
Author: Othmar Frey , Remote Sensing Laboratories (RSL), University of Zurich, Switzerland .

This document was translated from BibTEX by bibtex2html