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BACK TO INDEX Publications of year 2006 Books and proceedings
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| Abstract: | To ensure mobility, future road traffic management urgently needs actual and reliable information about the road traffic over wide areas in order to keep the traffic moving and the travel time short. Nowadays, outside of motorways the actual traffic situation is almost unknown due to the lack of sensor installations. This is the background for the TRAMRAD (TrafficMonitoring with Radar) project. TRAMRAD aims at profiting from research and development in earth observation and advances in radar remote sensing techniques to define realizable future air- or spaceborne sensor systems for the wide area monitoring of road traffic. The project comprises the necessary theoretical and practical investigations, as well as experimental campaigns with airborne instruments. The paper describes the requirements for the systems and the concepts being investigated. In particular, it discusses the complex detection conditions, the requirements on the radar instrument and the methods for processing the data. Possible system concepts are described and their capabilities are discussed. |
@ARTICLE{bethkeBaumgartnerGabeleHounamKemptnerKlementKriegerErxleben:TRAMRAD,
author = {Karl-Heinz Bethke and S. Baumgartner and M. Gabele and D. Hounam and E. Kemptner and D. Klement and G. Krieger and R. Erxleben},
title = {Air- and spaceborne monitoring of road traffic using SAR moving target indication--Project TRAMRAD},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing, Theme Issue: Airborne and Spaceborne Traffic Monitoring,},
year = {2006},
volume = {61},
pages = {243--259},
number = {3-4},
month = {dec},
abstract = {To ensure mobility, future road traffic management urgently needs actual and reliable information about the road traffic over wide areas in
order to keep the traffic moving and the travel time short. Nowadays, outside of motorways the actual traffic situation is almost unknown due
to the lack of sensor installations. This is the background for the TRAMRAD (TrafficMonitoring with Radar) project. TRAMRAD aims at
profiting from research and development in earth observation and advances in radar remote sensing techniques to define realizable future air- or
spaceborne sensor systems for the wide area monitoring of road traffic. The project comprises the necessary theoretical and practical
investigations, as well as experimental campaigns with airborne instruments. The paper describes the requirements for the systems and the
concepts being investigated. In particular, it discusses the complex detection conditions, the requirements on the radar instrument and the
methods for processing the data. Possible system concepts are described and their capabilities are discussed.},
keywords = {SAR Processing, TRAMRAD, Traffic Monitoring, TerraSAR-X, STAP, Space-Time Adaptive Processing, MTI, Moving Target Indication,SAR Interferometry, Interferometry, ATI, Along-Track SAR Interferometry},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/bethkeBaumgartnerGabeleHounamKemptnerKlementKriegerErxleben.pdf},
url = {http://www.sciencedirect.com/science?_ob=PdfDownloadURL&_uoikey=B6VF4-4M7CDCX-1&_tockey= 37761203410c%232006%23638477 0.000000LA%23&_orig=search&_acct=C000049009&_version=1&_userid=5294990&md5=b42fc0e98b81e7b9d6afee90670dfb7a}
}
Keywords: SAR Processing, Doppler radar, airborne radar, antenna radiation patterns, frequency-domain synthesis, image resolution, microwave antennas, radar antennas, radar cross-sections, radar imaging, radar resolution, radar tracking, synthetic aperture radar, 1.2 GHz, Ku-band, RAMSES, bandwidth, X-band, Airborne SAR, antenna pattern compensation, carrier trajectory, cross-range resolution, deterministic motion, fast-frequency domain synthesis, isotropic point-like echo, phase-tracking, Autofocus, Residual Motion Errors, Motion Compensation, MoComp, Time-Domain Back-Projection, TDBP, temporal-domain back-projection synthesis.
| Abstract: | The bandwidth of RAMSES, an airborne synthetic aperture radar (SAR) system was recently increased to 1.2 GHz in X- and Ku-bands, yielding (unweighted) 3 dB range resolution of 11 cm. The synthesis of SAR images with matching cross-range resolution requires long integration times, and this disqualifies the temporal-domain back-projection synthesis algorithm as impractically slow. The wider relative bandwidth also disqualifies simplified range/Doppler types of algorithms, as the hypothesis of proportionality between Doppler and squint is no longer valid. Therefore the authors implemented a fast-frequency domain synthesis algorithm (\u03a9-k or range-migration algorithm) and designed a new deterministic motion and antenna pattern compensation method for it. As the required accuracy on carrier trajectory exceeded the performance of the differential GPS-hybridised inertial navigation unit, the authors implemented an autofocus based on the phase-tracking of several isotropic point-like echoes. |
@ARTICLE{cantalloubeDuboisFernandez:OneraHighResXBand,
author = {Cantalloube, Hubert-M.J. and Pascale Dubois-Fernandez},
title = {Airborne X-band SAR imaging with 10 cm resolution: technical challenge and preliminary results},
journal = {IEE Proceedings - Radar, Sonar and Navigation},
year = {2006},
volume = {153},
pages = {163--176},
number = {2},
month = {apr},
abstract = {The bandwidth of RAMSES, an airborne synthetic aperture radar (SAR) system was recently increased to 1.2 GHz in X- and Ku-bands, yielding (unweighted) 3 dB range resolution of 11 cm. The synthesis of SAR images with matching cross-range resolution requires long integration times, and this disqualifies the temporal-domain back-projection synthesis algorithm as impractically slow. The wider relative bandwidth also disqualifies simplified range/Doppler types of algorithms, as the hypothesis of proportionality between Doppler and squint is no longer valid. Therefore the authors implemented a fast-frequency domain synthesis algorithm (\u03a9-k or range-migration algorithm) and designed a new deterministic motion and antenna pattern compensation method for it. As the required accuracy on carrier trajectory exceeded the performance of the differential GPS-hybridised inertial navigation unit, the authors implemented an autofocus based on the phase-tracking of several isotropic point-like echoes.},
doi = {10.1049/ip-rsn:20045097},
issn = {1350-2395},
keywords = {SAR Processing, Doppler radar, airborne radar, antenna radiation patterns, frequency-domain synthesis, image resolution, microwave antennas, radar antennas, radar cross-sections, radar imaging, radar resolution, radar tracking, synthetic aperture radar, 1.2 GHz, Ku-band, RAMSES, bandwidth, X-band, Airborne SAR, antenna pattern compensation, carrier trajectory, cross-range resolution, deterministic motion, fast-frequency domain synthesis, isotropic point-like echo, phase-tracking, Autofocus, Residual Motion Errors, Motion Compensation, MoComp, Time-Domain Back-Projection, TDBP, temporal-domain back-projection synthesis},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1626085&isnumber=34128}
}
Keywords: SAR Processing, SAR Tomography, radar tomography, polarimetric interferometry, radar polarimetry, Remote sensing, Inverse scattering, Random media and rough surfaces, Interferometry, InSAR, SAR Interferometry, PolInSAR.
| Abstract: | In this paper we introduce a new radar-imaging technique, called polarization coherence tomography (PCT), which employs variation of the interferometric coherence with polarization to reconstruct a vertical profile function in penetrable volume scattering. We first show how this profile function can be efficiently represented as a Fourier-Legendre series, with tomographic reconstruction reducing to estimation of the unknown coefficients of this series from coherence data. We then show that we can linearize this inversion by using a priori knowledge of two parameters, namely, volume depth and topographic phase. We further propose a new algorithm based on polarimetric interferometry to estimate these two from the data itself. To assess stability, we investigate both the single- and dual-baseline conditioning of the associated matrix inversion and then concentrate on the single-baseline case to demonstrate that for sufficient multilooking (around 50), stable retrievals of profiles can be obtained in the presence of coherence noise. Finally, we apply the technique to simulated L band coherent radar data to demonstrate its potential for new applications in radar remote sensing. |
@ARTICLE{Cloude2006,
author = {Cloude, Shane R.},
title = {Polarization coherence tomography},
journal = {Radio Sci.},
year = {2006},
volume = {41},
pages = {--},
month = aug,
abstract = {In this paper we introduce a new radar-imaging technique, called polarization coherence tomography (PCT), which employs variation of the interferometric coherence with polarization to reconstruct a vertical profile function in penetrable volume scattering. We first show how this profile function can be efficiently represented as a Fourier-Legendre series, with tomographic reconstruction reducing to estimation of the unknown coefficients of this series from coherence data. We then show that we can linearize this inversion by using a priori knowledge of two parameters, namely, volume depth and topographic phase. We further propose a new algorithm based on polarimetric interferometry to estimate these two from the data itself. To assess stability, we investigate both the single- and dual-baseline conditioning of the associated matrix inversion and then concentrate on the single-baseline case to demonstrate that for sufficient multilooking (around 50), stable retrievals of profiles can be obtained in the presence of coherence noise. Finally, we apply the technique to simulated L band coherent radar data to demonstrate its potential for new applications in radar remote sensing.},
doi = {http://dx.doi.org/10.1029/2005RS003436},
keywords = {SAR Processing, SAR Tomography, radar tomography, polarimetric interferometry, radar polarimetry, Remote sensing, Inverse scattering,
Random media and rough surfaces, Interferometry, InSAR, SAR Interferometry, PolInSAR},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/cloude2006PolarimetricCoherenceTomography.pdf},
publisher = {American Geophysical Union},
url = {http://europa.agu.org/?view=article&uri=/journals/rs/rs0604/2005RS003436/2005RS003436.xml}
}
Keywords: SAR Processing, Doppler Centroid Estimation, Doppler radar, Radon transforms, radar resolution, remote sensing by radar, synthetic aperture radar, Doppler Ambiguity Resolver, DAR, Radon transform, SAR, antenna pointing angle, look displacement algorithm, satellite beam pointing angle, slope estimation.
| Abstract: | The idea of using the Radon transform to measure the alignment of linear features in synthetic aperture radar (SAR) data has breathed new life into the "look displacement" class of Doppler ambiguity resolution algorithms. In these algorithms, the slope of target energy is estimated to obtain the satellite beam pointing angle accurately enough to resolve the Doppler ambiguity. After explaining the method and adding some minor improvements, it is shown how it can work well on satellite SAR data. Then, an alternate method is developed that combines the ideas of the Radon and look displacement algorithms to obtain a computationally simpler and more accurate algorithm. In addition, the quality checks of the "spatial diversity" approach are used to increase the robustness of the algorithm. Even though the algorithm was conceived for high-contrast scenes, it works remarkably well in low to medium contrast scenes as well. |
@ARTICLE{cummingLi2006:DopcenRadon,
author = {Cumming, Ian G. and Li, Shu},
title = {Improved slope estimation for SAR Doppler ambiguity resolution},
journal = {Geoscience and Remote Sensing, IEEE Transactions on},
year = {2006},
volume = {44},
pages = {707--718},
number = {3},
abstract = {The idea of using the Radon transform to measure the alignment of linear features in synthetic aperture radar (SAR) data has breathed new life into the "look displacement" class of Doppler ambiguity resolution algorithms. In these algorithms, the slope of target energy is estimated to obtain the satellite beam pointing angle accurately enough to resolve the Doppler ambiguity. After explaining the method and adding some minor improvements, it is shown how it can work well on satellite SAR data. Then, an alternate method is developed that combines the ideas of the Radon and look displacement algorithms to obtain a computationally simpler and more accurate algorithm. In addition, the quality checks of the "spatial diversity" approach are used to increase the robustness of the algorithm. Even though the algorithm was conceived for high-contrast scenes, it works remarkably well in low to medium contrast scenes as well.},
issn = {0196-2892},
keywords = {SAR Processing, Doppler Centroid Estimation, Doppler radar, Radon transforms, radar resolution, remote sensing by radar, synthetic aperture radar, Doppler Ambiguity Resolver, DAR, Radon transform, SAR, antenna pointing angle, look displacement algorithm, satellite beam pointing angle, slope estimation},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/cummingLi2006.pdf},
timestamp = {2006.05.02},
url = {http://ieeexplore.ieee.org/iel5/36/33599/01597475.pdf}
}
Keywords: SAR Processing, SAR Tomography, Tomography, geophysical techniques, remote sensing by radar, synthetic aperture radar, tomography, topography (Earth), 3D synthetic aperture radar tomography, European Remote Sensing 1 satellite, European Remote Sensing 2 satellite, Italy, Naples, Napoli, SAR sensors, data calibration, microwave scattering, residual topography, spatial-differencing technique, surface deformation, urban areas, Multibaseline coherent synthetic aperture radar (SAR) processing, SAR tomography, three-dimensional (3-D) SAR focusing.
| Abstract: | Microwave scattering is a rather complex mechanism, especially in urban areas. Three-dimensional (3-D) synthetic aperture radar (SAR) tomography is a technique that uses multiple views to map the scattering power at different heights, thus extending the capability of SAR sensors to fully image the scene in the 3-D space. This paper presents a first validation of spaceborne long-term SAR tomography by demonstrating the capability to resolve a simple layover case, i.e., to separate single- and double-scattering mechanisms within imaged pixels. Results obtained with real data acquired by the European Remote Sensing 1 and 2 (ERS-1 and ERS-2) satellites over the urban area of Napoli are presented. As an additional contribution, an innovative algorithm estimating residual topography and surface deformation, called the spatial-differencing technique, is also discussed in detail at the data calibration stage |
@ARTICLE{fornaroSerafino06:Tomo,
author = {Fornaro, G. and Serafino, F.},
title = {Imaging of Single and Double Scatterers in Urban Areas via SAR Tomography},
journal = {Geoscience and Remote Sensing, IEEE Transactions on},
year = {2006},
volume = {44},
pages = {3497--3505},
number = {12},
abstract = {Microwave scattering is a rather complex mechanism, especially in urban areas. Three-dimensional (3-D) synthetic aperture radar (SAR) tomography is a technique that uses multiple views to map the scattering power at different heights, thus extending the capability of SAR sensors to fully image the scene in the 3-D space. This paper presents a first validation of spaceborne long-term SAR tomography by demonstrating the capability to resolve a simple layover case, i.e., to separate single- and double-scattering mechanisms within imaged pixels. Results obtained with real data acquired by the European Remote Sensing 1 and 2 (ERS-1 and ERS-2) satellites over the urban area of Napoli are presented. As an additional contribution, an innovative algorithm estimating residual topography and surface deformation, called the spatial-differencing technique, is also discussed in detail at the data calibration stage},
issn = {0196-2892},
keywords = {SAR Processing, SAR Tomography, Tomography, geophysical techniques, remote sensing by radar, synthetic aperture radar, tomography, topography (Earth), 3D synthetic aperture radar tomography, European Remote Sensing 1 satellite, European Remote Sensing 2 satellite, Italy, Naples, Napoli, SAR sensors, data calibration, microwave scattering, residual topography, spatial-differencing technique, surface deformation, urban areas, Multibaseline coherent synthetic aperture radar (SAR) processing, SAR tomography, three-dimensional (3-D) SAR focusing},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/fornaroSerafinoTomo06.pdf},
url = {http://ieeexplore.ieee.org/iel5/36/4014302/04014314.pdf}
}
Keywords: SAR Processing, SAR Tomography, Tomography, geophysical signal processing, image registration, interferometry, radar imaging, remote sensing by radar, synthetic aperture radar, European Remote Sensing Satellite, InSAR coherence, MST-based stepwise connection strategy, data processing, distance function, geometric shift, image coregistration, image equalization, interferometric SAR, interferometric coherence, minimum spanning tree, multipass radar data, radar imaging, radiometric calibration, radiometric equalization, synthetic aperture radar, Data processing, image registration, minimum spanning tree (MST), multipass synthetic aperture radar (SAR) interferometry, radar imaging, radiometric calibration.
| Abstract: | This paper proposes a unified framework for predicting optimized pairing strategies for interferometric processing of multipass synthetic aperture radar data. The approach consists in a minimum spanning tree (MST) structure based on a distance function encoding an a priori model for the interferometric quality of each image pair. Using a distance function modeled after the interferometric coherence allows reproducing many "small baseline" strategies presented in the recent literature. A novel application of the method to the processing steps of image coregistration and equalization is illustrated, using a test European Remote Sensing Satellite dataset. Widespread methods used for these two operations rely on the computation of the amplitude cross correlation over a large number of corresponding tie patches distributed over the scene. Geometric shift and radiometric equalization parameters are estimated over the patches and used, respectively, within a polynomial warp model and a radiometric correction scheme. The number of reliable patches available behaves similarly to the interferometric synthetic aperture radar (InSAR) coherence with respect to the baselines, and can be assimilated to a quality figure for the derivation of the MST. Results show an improvement in the quality of the stepwise (SW)-processed image stack with respect to the classical single-master procedure, confirming that the SW approach is able to provide better conditions for the estimation of correlation-related InSAR parameters. |
@ARTICLE{reficeBovengaNutricato06:Tomo,
author = {Refice, A. and Bovenga, F. and Nutricato, R.},
title = {MST-based stepwise connection strategies for multipass Radar data, with application to coregistration and equalization},
journal = {Geoscience and Remote Sensing, IEEE Transactions on},
year = {2006},
volume = {44},
pages = {2029--2040},
number = {8},
abstract = {This paper proposes a unified framework for predicting optimized pairing strategies for interferometric processing of multipass synthetic aperture radar data. The approach consists in a minimum spanning tree (MST) structure based on a distance function encoding an a priori model for the interferometric quality of each image pair. Using a distance function modeled after the interferometric coherence allows reproducing many "small baseline" strategies presented in the recent literature. A novel application of the method to the processing steps of image coregistration and equalization is illustrated, using a test European Remote Sensing Satellite dataset. Widespread methods used for these two operations rely on the computation of the amplitude cross correlation over a large number of corresponding tie patches distributed over the scene. Geometric shift and radiometric equalization parameters are estimated over the patches and used, respectively, within a polynomial warp model and a radiometric correction scheme. The number of reliable patches available behaves similarly to the interferometric synthetic aperture radar (InSAR) coherence with respect to the baselines, and can be assimilated to a quality figure for the derivation of the MST. Results show an improvement in the quality of the stepwise (SW)-processed image stack with respect to the classical single-master procedure, confirming that the SW approach is able to provide better conditions for the estimation of correlation-related InSAR parameters.},
issn = {0196-2892},
keywords = {SAR Processing, SAR Tomography, Tomography, geophysical signal processing, image registration, interferometry, radar imaging, remote sensing by radar, synthetic aperture radar, European Remote Sensing Satellite, InSAR coherence, MST-based stepwise connection strategy, data processing, distance function, geometric shift, image coregistration, image equalization, interferometric SAR, interferometric coherence, minimum spanning tree, multipass radar data, radar imaging, radiometric calibration, radiometric equalization, synthetic aperture radar, Data processing, image registration, minimum spanning tree (MST), multipass synthetic aperture radar (SAR) interferometry, radar imaging, radiometric calibration},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/reficeBovengaNutricato06Tomo.pdf},
url = {http://ieeexplore.ieee.org/iel5/36/34774/01661792.pdf}
}
Keywords: SAR Processing, omega-k, Range Migration Algorithm, Wavenumber Domain Algorithm, Extended omega-k, EOK, Extended Wavenumber Domain Algorithm, Motion Compensation, Squinted SAR, Airborne SAR, E-SAR, ECS, Extended Chirp Scaling.
| Abstract: | Modern synthetic aperture radar (SAR) systems are continually developing in the direction of higher spatial resolution. This requires the usage of high range bandwidths combined with long azimuth integration intervals. High-quality SAR processing methods, which are able to deal with such sensor parameters, are necessary for focusing the raw data of such sensors. Wavenumber-domain (omegak) processing is commonly accepted as the ideal solution to the SAR focusing problem. However, it is only applicable to spaceborne SAR data where a straight sensor trajectory is given. In the case of airborne data, wavenumber-domain processing is limited because of its inability to perform high-precision motion compensation. Here, the extended chirp scaling (ECS) algorithm has proven to be very powerful, although it has certain limitations concerning long aperture syntheses and highly squinted geometries. In the paper, a new stripmap SAR data-processing algorithm, called extended omega–k (EOK), is analytically derived. The EOK algorithm aims to combine the high focusing accuracy of the wavenumber-domain algorithm with the high-precision motion compensation of the ECS algorithm. The new EOK algorithm integrates a three-step motion compensation correction in the general formulation of the wavenumber-domain algorithm, leading to a new airborne SAR processing scheme, which is also very robust in the cases of long synthetic apertures and high squint angles. As demonstrated, it offers the possibility of processing wide-band, low-frequency airborne SAR data up to nearwavelength resolution. The performance and accuracy of the new EOK SAR data-processing algorithm are demonstrated using simulated data in different data collection scenarios and geometries as well as using interferometric data acquired by the airborne experimental SAR system of DLR at L-band (Horn, 1996; Scheiber, 1999). |
@ARTICLE{reigberAlivizatosPotsisMoreira06:EOK,
author = {Reigber, Andreas and Alivizatos, E. and Potsis, A. and Moreira, Alberto},
title = {Extended wavenumber-domain synthetic aperture radar focusing with integrated motion compensation},
journal = {Radar, Sonar and Navigation, IEE Proceedings},
year = {2006},
volume = {153},
pages = {301--310},
number = {3},
abstract = {Modern synthetic aperture radar (SAR) systems are continually developing in the direction of higher spatial resolution. This requires the usage of high range bandwidths combined with long azimuth integration intervals. High-quality SAR processing methods, which are able to deal with such sensor parameters, are necessary for focusing the raw data of such sensors. Wavenumber-domain (omegak) processing is commonly accepted as the ideal solution to the SAR focusing problem. However, it is only applicable to spaceborne SAR data where a straight sensor trajectory is given. In the case of airborne data, wavenumber-domain processing is limited because of its inability to perform high-precision motion compensation. Here, the extended chirp scaling (ECS) algorithm has proven to be very powerful, although it has certain limitations concerning long aperture syntheses and highly squinted geometries. In the paper, a new stripmap SAR data-processing algorithm, called extended omega–k (EOK), is analytically derived. The EOK algorithm aims to combine the high focusing accuracy of the wavenumber-domain algorithm with the high-precision motion compensation of the ECS algorithm. The new EOK algorithm integrates a three-step motion compensation correction in the general formulation of the wavenumber-domain algorithm, leading to a new airborne SAR processing scheme, which is also very robust in the cases of long synthetic apertures and high squint angles. As demonstrated, it offers the possibility of processing wide-band, low-frequency airborne SAR data up to nearwavelength resolution. The performance and accuracy of the new EOK SAR data-processing algorithm are demonstrated using simulated data in different data collection scenarios and geometries as well as using interferometric data acquired by the airborne experimental SAR system of DLR at L-band (Horn, 1996; Scheiber, 1999).},
issn = {1350-2395},
keywords = {SAR Processing, omega-k, Range Migration Algorithm, Wavenumber Domain Algorithm, Extended omega-k, EOK, Extended Wavenumber Domain Algorithm, Motion Compensation, Squinted SAR, Airborne SAR, E-SAR, ECS, Extended Chirp Scaling},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/reigberAlivizatosPotsisMoreira06.pdf},
timestamp = {2006.07.27},
url = {http://ieeexplore.ieee.org/iel5/2198/34563/01648550.pdf}
}
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, ESAR, geophysical signal processing, geophysical techniques, motion compensation, remote sensing by radar, synthetic aperture radar SAR focusing, airborne SAR data, airborne SAR interferometry, digital elevation model, motion compensation, multisquint processing approach, navigation system, repeat-pass systems, residual motion errors, synthetic aperture radar, time-varying baseline errors.
| Abstract: | The processing of airborne synthetic aperture radar (SAR) data requires a precise compensation of the deviations of the platform movement from a straight line. This is usually carried out by recording the trajectory with a high-precision navigation system and correcting them during SAR focusing. However, due to the lack of accuracy in current navigation systems, residual motion errors persist in the images. Such residual motion errors are mainly noticeable in repeat-pass systems, where they are causing time-varying baseline errors, visible as artefacts in the derived phase maps. In this letter, a refined method for the estimation of time-varying baseline errors is presented. An improved multisquint processing approach is used for obtaining robust estimates of higher order baseline errors over the entire scene, even if parts of the scene are heavily decorrelated. In a subsequent step, the proposed method incorporates an external digital elevation model for detection of linear and constant components of the baseline error along azimuth. Calibration targets in the scene are not necessary. |
@ARTICLE{reigberPratsMallorqui2006:RefinedBaseLineEstim,
author = {Reigber, A. and Prats, P. and Mallorqui, J.J.},
title = {{Refined estimation of time-varying baseline errors in airborne SAR interferometry}},
journal = {IEEE Geoscience and Remote Sensing Letters},
year = {2006},
volume = {3},
pages = {145-149},
number = {1},
month = {jan},
abstract = {The processing of airborne synthetic aperture radar (SAR) data requires a precise compensation of the deviations of the platform movement from a straight line. This is usually carried out by recording the trajectory with a high-precision navigation system and correcting them during SAR focusing. However, due to the lack of accuracy in current navigation systems, residual motion errors persist in the images. Such residual motion errors are mainly noticeable in repeat-pass systems, where they are causing time-varying baseline errors, visible as artefacts in the derived phase maps. In this letter, a refined method for the estimation of time-varying baseline errors is presented. An improved multisquint processing approach is used for obtaining robust estimates of higher order baseline errors over the entire scene, even if parts of the scene are heavily decorrelated. In a subsequent step, the proposed method incorporates an external digital elevation model for detection of linear and constant components of the baseline error along azimuth. Calibration targets in the scene are not necessary.},
doi = {10.1109/LGRS.2005.860482},
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, ESAR, geophysical signal processing, geophysical techniques, motion compensation, remote sensing by radar, synthetic aperture radar SAR focusing, airborne SAR data, airborne SAR interferometry, digital elevation model, motion compensation, multisquint processing approach, navigation system, repeat-pass systems, residual motion errors, synthetic aperture radar, time-varying baseline errors},
owner = {ofrey},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/reigberPratsMallorqui2006.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1576708&isnumber=33327}
}
Keywords: SAR Processing, TerraSAR-X, Spaceborne SAR, X-Band, Instrument Description, Imaging Modes, Stripmap, ScanSAR, Spotlight SAR, TerraSAR-X multimode SAR processor, TMSP, Chirp Scaling Algorithm, CSA, SPECAN Algorithm, SPECAN.
| Abstract: | The TerraSAR-X Satellite which is currently being built in the framework of a public private partnership between the German Aerospace Centre DLR and Astrium GmbH Germany carries an X-Band SAR instrument which is equipped with an active phased array antenna. Its operational flexibility allows the use of the instrument for scientific and commercial applications. High amplitude and phase stability of the radar instrument is achieved by a Carbon Fibre Reinforced Plastic (CFRP) slotted waveguide radiator and high precision Transmit/Receive Module. Additionally internal calibration hardware allows for determination of the residual drifts. A precise Central Electronics controls the radar instrument, provides an arbitrary transmit chirp and receives the radar echo with selectable bandwidth and raw data compression ratio. The ground stations multimode SAR processor is supported by a novel satellite steering law to reduce the attitude dependent mean Doppler shift. This article summarises the EUSAR 2004 TerraSAR-X contributions. |
@ARTICLE{stanglWerninghausSchweizerFischerBrandfassMittermayerBreit2006:TerraSARX,
author = {Stangl, Martin and Werninghaus, Rolf and Schweizer, B. and Fischer, C. and Brandfass, Michael and Mittermayer, Josef and Breit, Helko},
title = {{TerraSAR-X Technologies and First Results}},
journal = {Radar, Sonar \& Navigation},
year = {2006},
volume = {153},
pages = {86 - 95},
number = {2},
month = {04},
abstract = {The TerraSAR-X Satellite which is currently being built in the framework of a public private partnership between the German Aerospace Centre DLR and Astrium GmbH Germany carries an X-Band SAR instrument which is equipped with an active phased array antenna. Its operational flexibility allows the use of the instrument for scientific and commercial applications. High amplitude and phase stability of the radar instrument is achieved by a Carbon Fibre Reinforced Plastic (CFRP) slotted waveguide radiator and high precision Transmit/Receive Module. Additionally internal calibration hardware allows for determination of the residual drifts. A precise Central Electronics controls the radar instrument, provides an arbitrary transmit chirp and receives the radar echo with selectable bandwidth and raw data compression ratio. The ground stations multimode SAR processor is supported by a novel satellite steering law to reduce the attitude dependent mean Doppler shift. This article summarises the EUSAR 2004 TerraSAR-X contributions.},
doi = {10.1049/ip-rsn:20045119},
editor = {IEE},
keywords = {SAR Processing, TerraSAR-X, Spaceborne SAR, X-Band, Instrument Description, Imaging Modes, Stripmap, ScanSAR, Spotlight SAR, TerraSAR-X multimode SAR processor, TMSP, Chirp Scaling Algorithm,CSA, SPECAN Algorithm, SPECAN},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/stanglWerninghausSchweizerFischerBrandfassMittermayerBreit2006.pdf},
publisher = {IEE},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1626076&isnumber=34128}
}
Keywords: SAR Processing, Non-Linear Flight Path, SAR Tomography, Curvilinear SAR.
| Abstract: | The curvilinear synthetic aperture radar (SAR), as a more practicable three-dimensional (3-D) SAR imaging system, has to utilize the parametric methods to extract the target features from its received data, the sparse data in 3-D frequency space. With the obtained feature estimates, these parametric methods, who can efficiently remove the effects of the sidelobes, reconstruct the target image whose quality is affected by the estimation accuracy of the features. By minimizing the Cramer-Rao bounds (CRBs) of the target features, we show, in this paper, the different effects on the estimation accuracy of different aperture parameters. A feature-independent aperture evaluator is also given for the curvilinear SAR system. |
@ARTICLE{suPengWang2006:NonLinearSARTomo,
author = {Su, Z. and Peng, Y. and Wang, X.},
title = {{Evaluation of the Aperture in the Curvilinear SAR}},
journal = {Radar, 2006. CIE'06. International Conference on},
year = {2006},
pages = {1--4},
abstract = {The curvilinear synthetic aperture radar (SAR), as a more practicable three-dimensional (3-D) SAR imaging system, has to utilize the parametric methods to extract the target features from its received data, the sparse data in 3-D frequency space. With the obtained feature estimates, these parametric methods, who can efficiently remove the effects of the sidelobes, reconstruct the target image whose quality is affected by the estimation accuracy of the features. By minimizing the Cramer-Rao bounds (CRBs) of the target features, we show, in this paper, the different effects on the estimation accuracy of different aperture parameters. A feature-independent aperture evaluator is also given for the curvilinear SAR system.},
keywords = {SAR Processing, Non-Linear Flight Path, SAR Tomography, Curvilinear SAR},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/suPengWang2006.pdf},
url = {http://ieeexplore.ieee.org/iel5/4148130/4118064/04148144.pdf}
}
Keywords: SAR Proceedings, Autofocus, Phase Gradient Autofocus, PGA, gradient methods, radar imaging, Range Migration Algorithm, omega-k, Wavenumber Domain Algorithm, Spotlight SAR, synthetic aperture radar.
| Abstract: | The phase gradient autofocus (PGA) algorithm is extended to work for synthetic aperture radar (SAR) spotlight images processed with range migration (w-k) algorithms. Several pre-processing steps are proposed for aligning the range-compressed phase-history data needed for successful autofocusing of the data. The proposed algorithm gave good results for both data with large point targets and data without point targets. |
@ARTICLE{vanRossumOttenVanBree2006:PGAAutofocus,
author = {Van Rossum, W. L. and Otten, M. P. G. and Van Bree, R. J. P.},
title = {{Extended PGA for range migration algorithms}},
journal = {IEEE Transactions on Aerospace and Electronic Systems},
year = {2006},
volume = {42},
pages = {478-488},
number = {2},
month = {apr},
abstract = {The phase gradient autofocus (PGA) algorithm is extended to work for synthetic aperture radar (SAR) spotlight images processed with range migration (w-k) algorithms. Several pre-processing steps are proposed for aligning the range-compressed phase-history data needed for successful autofocusing of the data. The proposed algorithm gave good results for both data with large point targets and data without point targets.},
doi = {10.1109/TAES.2006.1642565},
issn = {0018-9251},
keywords = {SAR Proceedings, Autofocus, Phase Gradient Autofocus, PGA, gradient methods, radar imaging, Range Migration Algorithm, omega-k, Wavenumber Domain Algorithm, Spotlight SAR, synthetic aperture radar},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/vanRossumOttenVanBree2006.pdf},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4422846&isnumber=4422708}
}
Keywords: SAR Processing, Non-Linear Flight Path, SAR Tomography, Curvilinear SAR.
| Abstract: | A new mode of curvilinear SAR called "composite mode curvilinear SAR(CCLSAR)" is proposed in this paper. In CCLSAR, the SAR operates in strip mode in azimuth and range dimension but spotlight mode in the height dimension. CCLSAR can synthesize a very large aperture in the direction of height, which cause very high resolution in the height dimension. Compared with the conventional curvilinear SAR, CCLSAR can acquire the imaging of large terrain quickly and immediately. Firstly the CCLSAR scheme was proposed and then the primary three-dimensional imaging in the case of full aperture of CCLSAR was discussed in this paper. |
@ARTICLE{xiangleRulinag2006:NonLinearSARTomo,
author = {Xiangle, L. and Ruliang, Y.},
title = {{Study of Composite Mode Curvilinear SAR}},
journal = {Radar, 2006. CIE'06. International Conference on},
year = {2006},
pages = {1--4},
abstract = {A new mode of curvilinear SAR called "composite mode curvilinear SAR(CCLSAR)" is proposed in this paper. In CCLSAR, the SAR operates in strip mode in azimuth and range dimension but spotlight mode in the height dimension. CCLSAR can synthesize a very large aperture in the direction of height, which cause very high resolution in the height dimension. Compared with the conventional curvilinear SAR, CCLSAR can acquire the imaging of large terrain quickly and immediately. Firstly the CCLSAR scheme was proposed and then the primary three-dimensional imaging in the case of full aperture of CCLSAR was discussed in this paper.},
keywords = {SAR Processing, Non-Linear Flight Path, SAR Tomography, Curvilinear SAR},
pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/xiangleRuliang2006.pdf},
url = {http://ieeexplore.ieee.org/iel5/4148130/4118064/04148428.pdf}
}
Conference articles
-
H. Chen and D. Kasilingam.
Auto-Regressive Aperture Extrapolation for Multibaseline SAR Tomography.
In Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,
pages 3743--3745,
July 31 2006-Aug. 4 2006.
@INPROCEEDINGS{Chen2006, author = {Chen, H. and Kasilingam, D.}, title = {Auto-Regressive Aperture Extrapolation for Multibaseline SAR Tomography}, booktitle = {Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on}, year = {2006}, pages = {3743--3745}, month = {July 31 2006-Aug. 4}, doi = {10.1109/IGARSS.2006.959}, owner = {ofrey}, timestamp = {2009.07.01} } -
Karlus A. Câmara de Macedo,
Rolf Scheiber,
and Alberto Moreira.
First Evaluations of Airborne InSAR Time-Series.
In Proc. of EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar,
2006.
Keywords: SAR Processing, SAR Interferometry, Interferometry, Permanent Scatterers, Phase Gradient Autofocus, PS-PGA, Autofocus, Motion Compensation, Residual Motion Error, Repeat-Pass Interferometry, Phase Calibration, Baseline Calibration, Tomographic Baseline Calibration, Airborne SAR, E-SAR.Abstract: To allow time-series analysis of airborne SAR images using PSs (Permanent Scatterers), this paper has two main objectives. The first is to show, in a quantitative way, that there is a compromise between the number of images used to detect PSs, their probability of being detected and their stability. This tradeoff is derived based on estimation and detection theories. The second objective is to investigate the possibility of the use of permanent scatterers to estimate undesired phase undulations in ariborne data due to residual motion errors. A new technique is proposed, the so-called PS-PGA, where we apply the Phase Gradient algorithm on the PSs in order to obtain sub-wavelength estimations of residual motion errors for both master and slaves, separately, differently from current approaches. Compensation of these residual errors will lead to more reliable airborne D-InSAR measurements. @INPROCEEDINGS{deMacedoScheiberMoreira2006:InSAR, author = {C{\^a}mara de Macedo, Karlus A. and Rolf Scheiber and Alberto Moreira}, title = {{First Evaluations of Airborne InSAR Time-Series}}, booktitle = {Proc. of EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar}, year = {2006}, abstract = {To allow time-series analysis of airborne SAR images using PSs (Permanent Scatterers), this paper has two main objectives. The first is to show, in a quantitative way, that there is a compromise between the number of images used to detect PSs, their probability of being detected and their stability. This tradeoff is derived based on estimation and detection theories. The second objective is to investigate the possibility of the use of permanent scatterers to estimate undesired phase undulations in ariborne data due to residual motion errors. A new technique is proposed, the so-called PS-PGA, where we apply the Phase Gradient algorithm on the PSs in order to obtain sub-wavelength estimations of residual motion errors for both master and slaves, separately, differently from current approaches. Compensation of these residual errors will lead to more reliable airborne D-InSAR measurements.}, keywords = {SAR Processing, SAR Interferometry, Interferometry, Permanent Scatterers, Phase Gradient Autofocus, PS-PGA, Autofocus, Motion Compensation, Residual Motion Error, Repeat-Pass Interferometry, Phase Calibration, Baseline Calibration, Tomographic Baseline Calibration, Airborne SAR, E-SAR}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/deMacedoScheiberMoreira2006.pdf} } -
An Daoxiang,
Huang Xiaotao,
and Wang Liang.
Contrast Optimized PGA Algorithm for P-band UWB SAR.
In Radar, 2006. CIE '06. International Conference on,
pages 1--4,
Oct. 2006.
Keywords: SAR Processing, Autofocus, Phase Gradient Autofocus, Contrast Optimization.Abstract: The Phase Gradient Autofocus (PGA) technique has been proved to be a superior method for higher order autofocus. However, given the different nature of P-band Ultra-Wideband Synthetic Aperture Radar (UWB SAR) imagery and very low signal-to-clutter ratio in the data, conventional PGA algorithm usually fail to yield robust focusing result on raw data without distortion. We proposed the modified PGA algorithm that combines the traditional PGA with contrast optimization principle and reference scatterer coregistration. Our method is successfully applied on raw P-band UWB SAR image and excellent results are attained. @INPROCEEDINGS{Daoxiang2006, author = {Daoxiang, An and Xiaotao, Huang and Liang, Wang}, title = {Contrast Optimized PGA Algorithm for P-band UWB SAR}, booktitle = {Radar, 2006. CIE '06. International Conference on}, year = {2006}, pages = {1--4}, month = {Oct. }, abstract = {The Phase Gradient Autofocus (PGA) technique has been proved to be a superior method for higher order autofocus. However, given the different nature of P-band Ultra-Wideband Synthetic Aperture Radar (UWB SAR) imagery and very low signal-to-clutter ratio in the data, conventional PGA algorithm usually fail to yield robust focusing result on raw data without distortion. We proposed the modified PGA algorithm that combines the traditional PGA with contrast optimization principle and reference scatterer coregistration. Our method is successfully applied on raw P-band UWB SAR image and excellent results are attained.}, keywords = {SAR Processing, Autofocus, Phase Gradient Autofocus, Contrast Optimization}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/daoxiangXiaotaoLiang2006.pdf} } -
Cao Fang,
Hong Wen,
and Wu Yirong.
An improved Cloude-Pottier decomposition using H/α/SPAN and complex Wishart classifier for polarimetric SAR classification.
In International Conference on Radar, 2006. CIE '06.,
pages 1-4,
October 2006.
Keywords: image classification, radar imaging, radar polarimetry, synthetic aperture radarCloude-Pottier decomposition, H/α, /SPAN, IHSL transform, Wishart classifier, polarimetric SAR classification, synthetic aperture radar.Abstract: An improvement is proposed for the Cloude-Pottier decomposition using H/α/SPAN and IHSL transform. Based on this decomposition, an unsupervised classification with SPAN is also given in this paper. The main advantages of this decomposition are that it uses SPAN to maintain the space information for further polarimetric analysis and provides a straight way to present the result. Our experiments show that this decomposition method provides better results than the general Cloude-Pottier method and the corresponding Wishart H/α/SPAN classification also achieves better performance than the current Wishart H/α/A method @INPROCEEDINGS{fangWenYirong2006:EntropyAlphaSpan, author = {Cao Fang and Hong Wen and Wu Yirong}, title = {{An improved Cloude-Pottier decomposition using H/α/SPAN and complex Wishart classifier for polarimetric SAR classification}}, booktitle = {International Conference on Radar, 2006. CIE '06.}, year = {2006}, pages = {1-4}, month = oct, abstract = {An improvement is proposed for the Cloude-Pottier decomposition using H/α/SPAN and IHSL transform. Based on this decomposition, an unsupervised classification with SPAN is also given in this paper. The main advantages of this decomposition are that it uses SPAN to maintain the space information for further polarimetric analysis and provides a straight way to present the result. Our experiments show that this decomposition method provides better results than the general Cloude-Pottier method and the corresponding Wishart H/α/SPAN classification also achieves better performance than the current Wishart H/α/A method}, doi = {10.1109/ICR.2006.343203}, keywords = {image classification, radar imaging, radar polarimetry, synthetic aperture radarCloude-Pottier decomposition, H/α,/SPAN, IHSL transform, Wishart classifier, polarimetric SAR classification, synthetic aperture radar}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/fangWenYirong2006.pdf}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4148309&isnumber=4118064} } -
Othmar Frey,
Erich Meier,
and Daniel Nüesch.
An Integrated Focusing and Calibration Procedure for Airborne SAR Data.
In Proc. of EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar,
2006.
Keywords: SAR Processing, Time-Domain Backprojection, Backprojection, Terrain Correction, Radiometry, Radiometric Calibration, Radiometric Correction, Terrain, Topography, DEM Geocoding, Geocoding, DLR, E-SAR, Airborne SAR, L-Band.Abstract: Topography-induced variation of radar brightness still poses a problem in terms of radiometric calibration of SAR data, which is undoubtedly an indispensable step in order to deduce bio- or geophysical parameters from amplitude images. We propose an integrated focusing and calibration procedure for airborne SAR data based on the time-domain backprojection technique. With the help of sensor position and attitude data as well as a digital elevation model (DEM) the true acquisition geometry is maintained throughout the combined focusing and calibration step. The effectiveness of the method is evaluated by means of an E-SAR L-band data set acquired over undulating terrain. @INPROCEEDINGS{freyMeierNueschEusar2006:TDBP, author = {Othmar Frey and Erich Meier and Daniel N{\"u}esch}, title = {An Integrated Focusing and Calibration Procedure for Airborne SAR Data}, booktitle = {Proc. of EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar}, year = {2006}, abstract = {Topography-induced variation of radar brightness still poses a problem in terms of radiometric calibration of SAR data, which is undoubtedly an indispensable step in order to deduce bio- or geophysical parameters from amplitude images. We propose an integrated focusing and calibration procedure for airborne SAR data based on the time-domain backprojection technique. With the help of sensor position and attitude data as well as a digital elevation model (DEM) the true acquisition geometry is maintained throughout the combined focusing and calibration step. The effectiveness of the method is evaluated by means of an E-SAR L-band data set acquired over undulating terrain.}, keywords = {SAR Processing, Time-Domain Backprojection, Backprojection, Terrain Correction, Radiometry, Radiometric Calibration, Radiometric Correction, Terrain, Topography, DEM Geocoding, Geocoding, DLR, E-SAR, Airborne SAR, L-Band}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/myPublications/PAPERS/freyMeierNueschEusar2006.pdf} } -
Per-Olov Frölind and Lars M. H. Ulander.
Evaluation of angular interpolation kernels in fast back-projection SAR processing.
In IEE Proceedings -- Radar, Sonar and Navigation,
volume 153,
pages 243--249,
June 2006.
Keywords: SAR Processing, Time-Domain Back-Projection, Backprojection, Back-Projection, Fast Factorized Back-Projection, Comparison of Algorithms, interpolation, interpolation kernels, angular interpolation kernels, radar imaging, synthetic aperture radar, ultra wideband radar, UWB SAR, interpolation method, phase error, polar version, subimage version, time domain SAR algorithm, Factorized Backprojection.Abstract: This paper presents a comparative study of the polar and the subimage based variants of the time domain SAR algorithm Fast Factorized Backprojection. The difference between the two variants with regard to the phase error, which causes defocusing in the image, is investigated. The difference between the algorithms in interpolation between stages is also discussed. To investigate the sidelobes in azimuth, the paper gives simulation results for a low frequency UWB SAR system for both algorithms. How the algorithms differ with regard to amount of beams and length of beams is also discussed. @INPROCEEDINGS{froelindUlander2006:FFBP, author = {Per-Olov Fr{\"o}lind and Lars M. H. Ulander}, title = {Evaluation of angular interpolation kernels in fast back-projection SAR processing}, booktitle = {IEE Proceedings -- Radar, Sonar and Navigation}, year = {2006}, volume = {153}, number = {3}, pages = {243--249}, month = {jun}, abstract = {This paper presents a comparative study of the polar and the subimage based variants of the time domain SAR algorithm Fast Factorized Backprojection. The difference between the two variants with regard to the phase error, which causes defocusing in the image, is investigated. The difference between the algorithms in interpolation between stages is also discussed. To investigate the sidelobes in azimuth, the paper gives simulation results for a low frequency UWB SAR system for both algorithms. How the algorithms differ with regard to amount of beams and length of beams is also discussed.}, issn = {1350-2395}, keywords = {SAR Processing, Time-Domain Back-Projection, Backprojection, Back-Projection, Fast Factorized Back-Projection, Comparison of Algorithms, interpolation,interpolation kernels, angular interpolation kernels, radar imaging, synthetic aperture radar, ultra wideband radar, UWB SAR, interpolation method, phase error, polar version, subimage version, time domain SAR algorithm,Factorized Backprojection}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/froelindUlander2006.pdf}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1648543&isnumber=34563} } -
Fabrizio Lombardini,
Ludwig Rössing,
Joachim H. G. Ender,
and F. Cai.
Interferometric Model Order Selection: Validation of ITC Methods with Airborne Three-antenna SAR Data.
In Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,
pages 2565--2568,
July 31 2006-Aug. 4 2006.
@INPROCEEDINGS{Lombardini2006, author = {Lombardini, Fabrizio and R{\"o}ssing, Ludwig and Joachim H. G. Ender and Cai, F.}, title = {Interferometric Model Order Selection: Validation of ITC Methods with Airborne Three-antenna SAR Data}, booktitle = {Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on}, year = {2006}, pages = {2565--2568}, month = {July 31 2006-Aug. 4}, doi = {10.1109/IGARSS.2006.663}, owner = {ofrey} } -
J.M. Munoz-Ferreras,
J. Calvo-Gallego,
F. Perez-Martinez,
A. Blanco-del-Campo,
A. Asensio-Lopez,
and B.P. Dorta-Naranjo.
Motion compensation for ISAR based on the shift-and-convolution algorithm.
In Radar, 2006 IEEE Conference on,
pages 5pp.,
24-27 April 2006.
Keywords: ISAR.@INPROCEEDINGS{Munoz-Ferreras2006, author = {Munoz-Ferreras, J.M. and Calvo-Gallego, J. and Perez-Martinez, F. and Blanco-del-Campo, A. and Asensio-Lopez, A. and Dorta-Naranjo, B.P.}, title = {Motion compensation for ISAR based on the shift-and-convolution algorithm}, booktitle = {Radar, 2006 IEEE Conference on}, year = {2006}, pages = {5pp.}, month = {24-27 April}, doi = {10.1109/RADAR.2006.1631825}, keywords = {ISAR}, owner = {ofrey} } -
Matteo Nannini and Rolf Scheiber.
A Time Domain Beamforming Algorithm for SAR Tomography.
In Proc. of EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar,
2006.
Keywords: SAR Processing, SAR Tomography, Tomography, Time-Domain Beamforming, Phase Calibration, Baseline Calibration, Tomographic Baseline Calibration, Airborne SAR, E-SAR.Abstract: Interest on 3D imaging in a remote sensing frame has grown in the recent years and it finds in SAR Tomography (TomSAR) a natural way to resolve for targets in the third dimension. In this paper we compare the performance of a pure beamforming technique with the SpecAn algorithm. This comparison has the goal to estabilish if the time domain beamforming (TDB) performance are efficient in order to perform tomographic focusing. A tomographic baseline calibration is also presented. The TDB is applied on simulated and real airborne data in L-band. The real data have been acquired during a tomographic campaign in May 1998 on the test site of Oberpfaffenhofen (Germany) with the E-SAR system of the German Aerospace Center (DLR). @INPROCEEDINGS{nanniniScheiber06:TimeDomainTomo, author = {Matteo Nannini and Rolf Scheiber}, title = {A Time Domain Beamforming Algorithm for SAR Tomography}, booktitle = {Proc. of EUSAR 2006 - 6th European Conference on Synthetic Aperture Radar}, year = {2006}, abstract = {Interest on 3D imaging in a remote sensing frame has grown in the recent years and it finds in SAR Tomography (TomSAR) a natural way to resolve for targets in the third dimension. In this paper we compare the performance of a pure beamforming technique with the SpecAn algorithm. This comparison has the goal to estabilish if the time domain beamforming (TDB) performance are efficient in order to perform tomographic focusing. A tomographic baseline calibration is also presented. The TDB is applied on simulated and real airborne data in L-band. The real data have been acquired during a tomographic campaign in May 1998 on the test site of Oberpfaffenhofen (Germany) with the E-SAR system of the German Aerospace Center (DLR).}, keywords = {SAR Processing, SAR Tomography, Tomography, Time-Domain Beamforming, Phase Calibration, Baseline Calibration, Tomographic Baseline Calibration, Airborne SAR, E-SAR}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/nanniniScheiberTomo06.pdf}, url = {http://elib.dlr.de/43943/01/Nannini_A_Time_Domain_Beamforming_for_SAR_Tomography.pdf} } -
P. Prats,
A. Reigber,
J. Mallorqui,
P. Blanco,
and A. Moreira.
Estimation of the Deformation Temporal Evolution Using Airborne Differential SAR Interferometry.
In Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,
pages 1894--1897,
July 31 2006-Aug. 4 2006.
Keywords: SAR Processing, D-InSAR, ESAR, Airborne SAR, L-Band, differential interferometry, Interferometry, Motion Compensation, RME, Residual Motion Errors, deformation measurement.@INPROCEEDINGS{PratsReigberMallorquiBlancoMoreira2006a:DInSAR, author = {Prats, P. and Reigber, A. and Mallorqui, J. and Blanco, P. and Moreira, A.}, title = {Estimation of the Deformation Temporal Evolution Using Airborne Differential SAR Interferometry}, booktitle = {Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on}, year = {2006}, pages = {1894--1897}, month = {July 31 2006-Aug. 4}, keywords = {SAR Processing, D-InSAR, ESAR, Airborne SAR, L-Band, differential interferometry, Interferometry, Motion Compensation, RME, Residual Motion Errors, deformation measurement}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/PratsReigberMallorquiBlancoMoreira2006a.pdf}, url = {http://ieeexplore.ieee.org/iel5/4087812/4241146/04241636.pdf} } -
J. Sanz-Marcos,
J. Mallorqui,
A. Aguasca,
and P. Prats.
First ENVISAT and ERS-2 Parasitic Bistatic Fixed Receiver SAR Images Processed with the Subaperture Range-Doppler Algorithm.
In Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,
pages 1840--1843,
July 31 2006-Aug. 4 2006.
@INPROCEEDINGS{SanzMarcosMallorquiAguascaPrats2006:Bistatic, author = {Sanz-Marcos, J. and Mallorqui, J. and Aguasca, A. and Prats, P.}, title = {First ENVISAT and ERS-2 Parasitic Bistatic Fixed Receiver SAR Images Processed with the Subaperture Range-Doppler Algorithm}, booktitle = {Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on}, year = {2006}, pages = {1840--1843}, month = {July 31 2006-Aug. 4}, doi = {10.1109/IGARSS.2006.475}, owner = {ofrey}, timestamp = {2007.08.14} } -
E.C. Zaugg,
D.L. Hudson,
and D.G. Long.
The BYU SAR: A Small, Student-Built SAR for UAV Operation.
In Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,
pages 411--414,
July 31 2006-Aug. 4 2006.
Keywords: SAR Processing, BYU SAR, UAV.@INPROCEEDINGS{Zaugg2006, author = {Zaugg, E.C. and Hudson, D.L. and Long, D.G.}, title = {The BYU SAR: A Small, Student-Built SAR for UAV Operation}, booktitle = {Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on}, year = {2006}, pages = {411--414}, month = {July 31 2006-Aug. 4}, doi = {10.1109/IGARSS.2006.110}, keywords = {SAR Processing, BYU SAR, UAV}, owner = {ofrey} } -
X. Zheng,
W. Yu,
and Z. Li.
A Novel Algorithm for Wide Beam SAR Motion Compensation Based on Frequency Division.
In IEEE International Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006.,
pages 3160-3163,
August 2006.
Keywords: SAR Processing, Motion Compensation, MoComp, P-Band, Wide Beamwidth, Airborne SAR, Frequency Division, Frequency-Division Motion Compensation, FD-MOCO.Abstract: This paper proposes a novel motion compensation algorithm for wide beam Synthetic Aperture Radar (SAR) based on frequency division. It applies motion compensation in time domain and corrects both low- and high- frequency motion errors. The rationale and procedure of this algorithm are introduced in detail. Point scatterers of a P-band airborne SAR with different motion errors are tested to validate this algorithm. Compared with traditional narrow beam motion compensation and available wide beam compensation, the proposed algorithm has better performance. @INPROCEEDINGS{zhengYuLi2006:MoComp, author = {Zheng, X. and Yu, W. and Li, Z.}, title = {{A Novel Algorithm for Wide Beam SAR Motion Compensation Based on Frequency Division}}, booktitle = {IEEE International Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006.}, year = {2006}, pages = {3160-3163}, month = {aug}, abstract = {This paper proposes a novel motion compensation algorithm for wide beam Synthetic Aperture Radar (SAR) based on frequency division. It applies motion compensation in time domain and corrects both low- and high- frequency motion errors. The rationale and procedure of this algorithm are introduced in detail. Point scatterers of a P-band airborne SAR with different motion errors are tested to validate this algorithm. Compared with traditional narrow beam motion compensation and available wide beam compensation, the proposed algorithm has better performance.}, doi = {10.1109/IGARSS.2006.811}, keywords = {SAR Processing, Motion Compensation, MoComp, P-Band, Wide Beamwidth, Airborne SAR, Frequency Division, Frequency-Division Motion Compensation, FD-MOCO}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/zhengYuLi2006.pdf}, url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4241959&isnumber=4241146} }
Internal reports
-
Mehrdad Soumekh.
Time Domain Non-Linear SAR Processing.
Technical report,
Department of Electrical Engineering,State University of New York,
2006.
Keywords: SAR Processing, Backprojection, Time-Domain Backprojection, Non-Linear Flight Path, Matlab, MPI, MatlabMPI, Video SAR, Parallel Processing, Wavefront Reconstruction, omega-k Algorithm, omega-k, Range Migration Algorithm.@TECHREPORT{soumekhReport2006:TDBP, author = {Mehrdad Soumekh}, title = {Time Domain Non-Linear SAR Processing}, institution = {Department of Electrical Engineering,State University of New York}, year = {2006}, keywords = {SAR Processing, Backprojection, Time-Domain Backprojection, Non-Linear Flight Path, Matlab, MPI, MatlabMPI, Video SAR, Parallel Processing,Wavefront Reconstruction, omega-k Algorithm, omega-k,Range Migration Algorithm}, owner = {ofrey}, pdf = {http://www.geo.uzh.ch/~ofrey/SARbibliography/PAPERS/soumekhNonLinSARReport2006.pdf } }
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Last modified: Sun Mar 21 11:22:02 2010
Author: Othmar Frey , Remote Sensing Laboratories (RSL), University of Zurich, Switzerland .
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