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Publications of year 1997

Articles in journal or book chapters

  1. Shane R. Cloude and Eric Pottier. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Transactions on Geoscience and Remote Sensing, 35(1):68-78, January 1997.
    Keywords: SAR Processing, Polarimetry, PolSAR, Entropy, Anisotropy, Alpha, H-A-alpha, S-matrix theory, geophysical signal processing, geophysical techniques, image classification, radar imaging, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radar, S-matrix theory, average target scattering matrix parameters, coherency matrix, eigenvalue analysis, entropy based classification, geophysical measurement technique, image classification, land surface, land use, parameterization, polarimetric SAR, polarimetric scattering problem, quantitative analysis, radar polarimetry, radar remote sensing, scattering entropy, terrain mapping, three-level Bernoulli statistical model, unsupervised classifier.
    Abstract: The authors outline a new scheme for parameterizing polarimetric scattering problems, which has application in the quantitative analysis of polarimetric SAR data. The method relies on an eigenvalue analysis of the coherency matrix and employs a three-level Bernoulli statistical model to generate estimates of the average target scattering matrix parameters from the data. The scattering entropy is a key parameter is determining the randomness in this model and is seen as a fundamental parameter in assessing the importance of polarimetry in remote sensing problems. The authors show application of the method to some important classical random media scattering problems and apply it to POLSAR data from the NASA/JPL AIRSAR data base

    @ARTICLE{cloudePottier1997:EntropyAalpha,
    author = {Cloude, Shane R. and Pottier, Eric},
    title = {An entropy based classification scheme for land applications of polarimetric SAR},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    year = {1997},
    volume = {35},
    pages = {68-78},
    number = {1},
    month = {Jan},
    abstract = {The authors outline a new scheme for parameterizing polarimetric scattering problems, which has application in the quantitative analysis of polarimetric SAR data. The method relies on an eigenvalue analysis of the coherency matrix and employs a three-level Bernoulli statistical model to generate estimates of the average target scattering matrix parameters from the data. The scattering entropy is a key parameter is determining the randomness in this model and is seen as a fundamental parameter in assessing the importance of polarimetry in remote sensing problems. The authors show application of the method to some important classical random media scattering problems and apply it to POLSAR data from the NASA/JPL AIRSAR data base},
    doi = {10.1109/36.551935},
    issn = {0196-2892},
    keywords = {SAR Processing, Polarimetry, PolSAR, Entropy, Anisotropy, Alpha, H-A-alpha, S-matrix theory, geophysical signal processing, geophysical techniques, image classification, radar imaging, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radar, S-matrix theory, average target scattering matrix parameters, coherency matrix, eigenvalue analysis, entropy based classification, geophysical measurement technique, image classification, land surface, land use, parameterization, polarimetric SAR, polarimetric scattering problem, quantitative analysis, radar polarimetry, radar remote sensing, scattering entropy, terrain mapping, three-level Bernoulli statistical model, unsupervised classifier},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/cloudePottier1997.pdf},
    url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=551935&isnumber=11971} 
    }
    


  2. H. Israelsson, L. M. H. Ulander, J. L. H. Askne, J. E. S. Fransson, P.-O. Frölind, A. Gustavsson, and H. Hellsten. Retrieval of forest stem volume using VHF SAR. IEEE_J_GRS, 35(1):36-40, January 1997.
    Keywords: SAR Processing, Forest, Forest parameters, biomass, 28 to 60 MHz, CARABAS, HF radar, Oland, SAR, Sweden, VHF radar, airborne radar, backscattering coefficient, biomass, coherent all radio band sensing, deciduous mixed forest, dense forest, discrimination, forest stem volume, forestry, geophysical measurement technique, horizontal dipole array, radar imaging, radar remote sensing, radar scattering, tree trunk, vegetation mapping, wood, airborne radar, forestry, geophysical techniques, radar cross-sections, radar imaging, remote sensing by radar, synthetic aperture radar;.
    Abstract: The ability to retrieve forest stem volume using CARABAS (coherent all radio band sensing) SAR images (28-60 MHz) has been investigated. The test site is a deciduous mixed forest on the island of Oland in southern Sweden. The images have been radiometrically calibrated using an array of horizontal dipoles. The images exhibit a clear discrimination between the forest and open fields. The results show that the dynamic range of the backscattering coefficient among the forest stands is higher than what has been found with conventional SAR using microwave frequencies. The backscatter increases with increasing radar frequency. This work shows an advantage compared to higher frequencies for stem volume estimation in dense forests

    @ARTICLE{israelssonUlanderAskneFranssonFrolindGustavssonHellsten1997:BiomassBackscatter,
    author={Israelsson, H. and Ulander, L. M. H. and Askne, J. L. H. and Fransson, J. E. S. and Fr\"olind, P.-O. and Gustavsson, A. and Hellsten, H.},
    journal=IEEE_J_GRS,
    title={Retrieval of forest stem volume using {VHF} {SAR}},
    year={1997},
    month=jan,
    volume={35},
    number={1},
    pages={36-40},
    abstract={The ability to retrieve forest stem volume using CARABAS (coherent all radio band sensing) SAR images (28-60 MHz) has been investigated. The test site is a deciduous mixed forest on the island of Oland in southern Sweden. The images have been radiometrically calibrated using an array of horizontal dipoles. The images exhibit a clear discrimination between the forest and open fields. The results show that the dynamic range of the backscattering coefficient among the forest stands is higher than what has been found with conventional SAR using microwave frequencies. The backscatter increases with increasing radar frequency. This work shows an advantage compared to higher frequencies for stem volume estimation in dense forests},
    keywords={SAR Processing, Forest, Forest parameters, biomass, 28 to 60 MHz;CARABAS;HF radar;Oland;SAR;Sweden;VHF radar;airborne radar;backscattering coefficient;biomass;coherent all radio band sensing;deciduous mixed forest;dense forest;discrimination;forest stem volume;forestry;geophysical measurement technique;horizontal dipole array;radar imaging;radar remote sensing;radar scattering;tree trunk;vegetation mapping;wood;airborne radar;forestry;geophysical techniques;radar cross-sections;radar imaging;remote sensing by radar;synthetic aperture radar;},
    doi={10.1109/36.551932},
    ISSN={0196-2892},
    
    }
    


  3. Riccardo Lanari and Gianfranco Fornaro. A short discussion on the exact compensation of the SAR range-dependent range cell migration effect. IEEE Transactions on Geoscience and Remote Sensing, 35(6):1446-1452, November 1997.
    Keywords: SAR Processing, Motion Compensation, Comparison of Algorithms, Chirp Scaling Algorithm, Range Cell Migration, Range Migration, FM radar, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, RCM, RDRCM, SAR, chirp z-transform, exact compensation, geophysical measurement technique, land surface, radar imaging, radar remote sensing, range-dependent range cell migration effect, synthetic aperture radar, terrain mapping.
    Abstract: Efficient and precise compensation of the range cell migration (RCM) effect is a key point for a fast and accurate synthetic aperture radar (SAR) data processor. In particular the range-dependent nature of the range cell migration effect complicates the compensation operation. It has been recently shown that an exact compensation of the range-dependent RCM (RDRCM) phenomenon can be carried out either by applying the chirp scaling algorithm or the chirp z-transform procedure. This paper investigates the relationship between the two methods. In particular, it is shown that the chirp z-transform based approach represents a particular implementation of the chirp scaling algorithm. A final discussion is dedicated to show how the chirp z-transform and the chirp scaling procedure can be applied within a SAR data processing algorithm.

    @ARTICLE{LanariFornaro1997:MoCoDiscussion,
    author = {Lanari, Riccardo and Fornaro, Gianfranco},
    title = {{A short discussion on the exact compensation of the SAR range-dependent range cell migration effect}},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    year = {1997},
    volume = {35},
    pages = {1446-1452},
    number = {6},
    month = {nov},
    abstract = {Efficient and precise compensation of the range cell migration (RCM) effect is a key point for a fast and accurate synthetic aperture radar (SAR) data processor. In particular the range-dependent nature of the range cell migration effect complicates the compensation operation. It has been recently shown that an exact compensation of the range-dependent RCM (RDRCM) phenomenon can be carried out either by applying the chirp scaling algorithm or the chirp z-transform procedure. This paper investigates the relationship between the two methods. In particular, it is shown that the chirp z-transform based approach represents a particular implementation of the chirp scaling algorithm. A final discussion is dedicated to show how the chirp z-transform and the chirp scaling procedure can be applied within a SAR data processing algorithm.},
    keywords = {SAR Processing, Motion Compensation, Comparison of Algorithms, Chirp Scaling Algorithm, Range Cell Migration, Range Migration, FM radar, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, RCM, RDRCM, SAR, chirp z-transform, exact compensation, geophysical measurement technique, land surface, radar imaging, radar remote sensing, range-dependent range cell migration effect, synthetic aperture radar, terrain mapping},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/LanariFornaro1997.pdf},
    url = {http://ieeexplore.ieee.org/iel3/36/14159/00649799.pdf} 
    }
    


  4. J. Li, Z. Bi, Z.S. Liu, and K. Knaell. Use of curvilinear SAR for three-dimensional target feature extraction. Radar, Sonar and Navigation, IEE Proceedings-, 144(5):275--283, 1997.
    Keywords: SAR Processing, Non-Linear Flight Path, SAR Tomography, Feature Extraction, Target Feature Extraction, Curvilinear SAR.
    @ARTICLE{liBiLiuKnaell1997:NonLinearSARTomo,
    author = {Li, J. and Bi, Z. and Liu, Z.S. and Knaell, K.},
    title = {{Use of curvilinear SAR for three-dimensional target feature extraction}},
    journal = {Radar, Sonar and Navigation, IEE Proceedings-},
    year = {1997},
    volume = {144},
    pages = {275--283},
    number = {5},
    keywords = {SAR Processing, Non-Linear Flight Path, SAR Tomography, Feature Extraction, Target Feature Extraction, Curvilinear SAR},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/liBiLiuKnaell1997.pdf},
    url = {http://ieeexplore.ieee.org/iel3/2198/13771/00635859.pdf} 
    }
    


  5. J. Li, Z.-S. Liu, and Petre Stoica. 3-D target feature extraction via interferometric SAR. Radar, Sonar and Navigation, IEE Proceedings -, 144(2):71--80, 1997.
    Keywords: SAR Processing, Tomography, SAR Tomography, InSAR, fast Fourier transforms, feature extraction, least squares approximations, parameter estimation, radar cross-sections, radar signal processing, radiowave interferometry, signal resolution, synthetic aperture radar, 3D target feature extraction, Capon, Cramer-Rao bounds, FTF, IFRELAX, IFSAR, MUSIC, data model, interferometric SAR, interferometric synthetic aperture radar, nonlinear least squares parameter estimation method, nonparametric methods, parameter estimates, parameter identifiability conditions, performance, point scatterers, two-dimensional feature extraction methods, windowed FFT.
    Abstract: The authors consider 3-D (three-dimensional) target feature extraction via an interferometric synthetic aperture radar (IFSAR). The targets of interest are relatively small and consist of a small number of distinct point scatterers. Since using IFSAR to extract the features of such targets has not been addressed before, a self-contained detailed derivation of the data model is presented. A set of sufficient parameter identifiability conditions on the data model and the Cramer-Rao bounds (CRBs) on the parameter estimates are also derived. Four existing two-dimensional feature extraction methods (FFT, windowed FFT, Capon and MUSIC) are extended to estimate the 3-D parameters of the target scatterers. A new nonlinear least squares parameter estimation method, referred to as IFRELAX, is also derived to extract the target features. Finally, numerical examples are presented to compare the performances of the presented methods with each other and with the corresponding CRBs.The authors show by means of numerical examples that, among the three nonparametric methods (FFT, windowed FFT, and Capon), Capon has the best resolution. The parametric methods MUSIC and IFRELAX can have much better resolution and provide much more accurate parameter estimates than the nonparametric methods. It is shown IFRELAX can be faster and provide much better parameter estimates than MUSIC.

    @ARTICLE{liLiuStoica97:Tomography,
    author = {Li, J. and Liu, Z.-S. and Stoica, Petre},
    title = {3-D target feature extraction via interferometric SAR},
    journal = {Radar, Sonar and Navigation, IEE Proceedings -},
    year = {1997},
    volume = {144},
    pages = {71--80},
    number = {2},
    abstract = {The authors consider 3-D (three-dimensional) target feature extraction via an interferometric synthetic aperture radar (IFSAR). 
    
    The targets of interest are relatively small and consist of a small number of distinct point scatterers. 
    
    Since using IFSAR to extract the features of such targets has not been addressed before, a self-contained detailed 
    
    derivation of the data model is presented. A set of sufficient parameter identifiability conditions on the data model 
    
    and the Cramer-Rao bounds (CRBs) on the parameter estimates are also derived. Four existing two-dimensional feature 
    
    extraction methods (FFT, windowed FFT, Capon and MUSIC) are extended to estimate the 3-D parameters of the target scatterers. 
    
    A new nonlinear least squares parameter estimation method, referred to as IFRELAX, is also derived to extract the target features. 
    
    Finally, numerical examples are presented to compare the performances of the presented methods with each other and with the 
    
    corresponding CRBs.The authors show by means of numerical examples that, among the three nonparametric methods 
    
    (FFT, windowed FFT, and Capon), Capon has the best resolution. 
    
    The parametric methods MUSIC and IFRELAX can have much better resolution and provide much more accurate parameter estimates 
    
    than the nonparametric methods. It is shown IFRELAX can be faster and provide much better parameter estimates than MUSIC.},
    issn = {1350-2395},
    keywords = {SAR Processing, Tomography, SAR Tomography, InSAR, fast Fourier transforms, feature extraction, least squares approximations, parameter estimation, radar cross-sections, radar signal processing, radiowave interferometry, signal resolution, synthetic aperture radar, 3D target feature extraction, Capon, Cramer-Rao bounds, FTF, IFRELAX, IFSAR, MUSIC, data model, interferometric SAR, interferometric synthetic aperture radar, nonlinear least squares parameter estimation method, nonparametric methods, parameter estimates, parameter identifiability conditions, performance, point scatterers, two-dimensional feature extraction methods, windowed FFT},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/liLiuStoica97.pdf},
    url = {http://ieeexplore.ieee.org/iel1/2198/12824/00591257.pdf} 
    }
    


  6. T. Miller, L. Potter, and John W. McCorkle. RFI suppression for ultra wideband radar. Aerospace and Electronic Systems, IEEE Transactions on, 33(4):1142--1156, 1997.
    Keywords: SAR Processing, interference suppression, least squares approximations, radar imaging, radar interference, radiofrequency interference, synthetic aperture radar, Army Research Laboratory, RFI Suppression, SAR imagery, UWB rail SAR, bias, estimate-and-subtract algorithm, estimated targets, foliage-penetrating imaging, ground-penetrating imaging, radio frequency interference, real-time digital suppression, sidelobe levels, signal model, target energy loss, ultra wideband radar, ultrawideband synthetic aperture radar.
    Abstract: An estimate-and-subtract algorithm is presented for the real-time

    @ARTICLE{millerPotterMcCorkle97:RFI,
    author = {Miller, T. and Potter, L. and McCorkle, John W.},
    title = {RFI suppression for ultra wideband radar},
    journal = {Aerospace and Electronic Systems, IEEE Transactions on},
    year = {1997},
    volume = {33},
    pages = {1142--1156},
    number = {4},
    abstract = {An estimate-and-subtract algorithm is presented for the real-time},
    keywords = {SAR Processing, interference suppression, least squares approximations, radar imaging, radar interference, radiofrequency interference, synthetic aperture radar, Army Research Laboratory, RFI Suppression, SAR imagery, UWB rail SAR, bias, estimate-and-subtract algorithm, estimated targets, foliage-penetrating imaging, ground-penetrating imaging, radio frequency interference, real-time digital suppression, sidelobe levels, signal model, target energy loss, ultra wideband radar, ultrawideband synthetic aperture radar},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/millerPotterMcCorkle97.pdf},
    url = {http://ieeexplore.ieee.org/iel4/7/13583/00625096.pdf} 
    }
    


  7. Andrea Monti-Guarnieri and C. Prati. SAR interferometry: A ``Quick and dirty'' coherence estimator for data browsing. IEEE Transactions on Geoscience and Remote Sensing, 35(3):660-669, May 1997.
    Keywords: SAR Processing, Coherence, Coherence Estimation, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, spaceborne radar, speckle, synthetic aperture radarERS, SAR interferometry, coherence estimator, coherence map, data browsing, fast algorithm, geophysical measurement technique, land surface, quick method, radar imaging, radar remote sensing, spaceborne radar, speckle similarity, synthetic aperture radar, terrain mapping.
    Abstract: Usual coherence estimation in SAR interferometry is a time consuming task since an accurate estimation of the local frequency of the interferometric fringes is required. This paper presents a fast algorithm for generating coherence maps, mainly intended for data browsing. The proposed estimator is based on the speckle similarity of coherent SAR data, and is thus independent of fringe frequency. The following advantages, with respect to the usual estimates, are achieved: (a) The estimator is more than 100 times faster, achieved at the cost of a reduced statistical confidence. (b) The estimator is not affected by possible local frequency estimation errors. (c) The estimator can be directly applied to single look detected images. The theoretical derivation of the statistical properties of the frequency independent estimator is carried out in the stationary case. The nonstationary case is then analyzed on real ERS SAR images

    @ARTICLE{montiGuarnieriPrati97:Coherence,
    author = {Monti-Guarnieri, Andrea and Prati, C.},
    title = {{SAR interferometry: A ``Quick and dirty'' coherence estimator for data browsing}},
    journal = {IEEE Transactions on Geoscience and Remote Sensing},
    year = {1997},
    volume = {35},
    pages = {660-669},
    number = {3},
    month = may,
    abstract = {Usual coherence estimation in SAR interferometry is a time consuming task since an accurate estimation of the local frequency of the interferometric fringes is required. This paper presents a fast algorithm for generating coherence maps, mainly intended for data browsing. The proposed estimator is based on the speckle similarity of coherent SAR data, and is thus independent of fringe frequency. The following advantages, with respect to the usual estimates, are achieved: (a) The estimator is more than 100 times faster, achieved at the cost of a reduced statistical confidence. (b) The estimator is not affected by possible local frequency estimation errors. (c) The estimator can be directly applied to single look detected images. The theoretical derivation of the statistical properties of the frequency independent estimator is carried out in the stationary case. The nonstationary case is then analyzed on real ERS SAR images},
    doi = {10.1109/36.581984},
    keywords = {SAR Processing, Coherence, Coherence Estimation, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, spaceborne radar, speckle, synthetic aperture radarERS, SAR interferometry, coherence estimator, coherence map, data browsing, fast algorithm, geophysical measurement technique, land surface, quick method, radar imaging, radar remote sensing, spaceborne radar, speckle similarity, synthetic aperture radar, terrain mapping},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/montiGuarnieriPrati97},
    url = {http://ieeexplore.ieee.org/iel1/36/12630/00581984.pdf} 
    }
    


Conference articles

  1. F. Berizzi, G. Corsini, M. Diani, F. Lombardini, and G. Pinelli. Simulation model and performance analysis of a three-antenna InSAR system. In Radar 97 (Conf. Publ. No. 449), pages 119--123, 14-16 Oct. 1997.
    @INPROCEEDINGS{Berizzi1997,
    author = {Berizzi, F. and Corsini, G. and Diani, M. and Lombardini, F. and Pinelli, G.},
    title = {Simulation model and performance analysis of a three-antenna InSAR system},
    booktitle = {Radar 97 (Conf. Publ. No. 449)},
    year = {1997},
    pages = {119--123},
    month = {14-16 Oct.},
    owner = {ofrey} 
    }
    


  2. G. Corsini, M. Diani, F. Lombardini, and G. Pinelli. Reduction of the phase-unwrapping drawbacks by the three-antenna interferometric SAR system. In Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International, volume 4, pages 1536--1538vol.4, 3-8 Aug. 1997.
    @INPROCEEDINGS{Corsini1997,
    author = {Corsini, G. and Diani, M. and Lombardini, F. and Pinelli, G.},
    title = {Reduction of the phase-unwrapping drawbacks by the three-antenna interferometric SAR system},
    booktitle = {Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International},
    year = {1997},
    volume = {4},
    pages = {1536--1538vol.4},
    month = {3-8 Aug.},
    doi = {10.1109/IGARSS.1997.608933},
    owner = {ofrey} 
    }
    


  3. Charles V. Jakowatz, Daniel E. Wahl, Paul A. Thompson, and Neall E. Doren. Space-variant filtering for correction of wavefront curvature effects in spotlight-mode SAR imagery formed via polar formatting. In Edmund G. Zelnio, editor, , volume 3070, pages 33-42, 1997. SPIE.
    Keywords: SAR Processing, Polar Format Algorithm, PFA, Range Migration Algorithm, RMA, omega-k, correction of wavefront curvature effects, Spotlight SAR, Spotlight-mode data.
    @conference{jakowatzWahlThompsonDorenSpotlightPolarFormat1997,
    author = {Charles V. Jakowatz, Jr. and Daniel E. Wahl and Paul A. Thompson and Neall E. Doren},
    editor = {Edmund G. Zelnio},
    collaboration = {},
    title = {Space-variant filtering for correction of wavefront curvature effects in spotlight-mode {SAR} imagery formed via polar formatting},
    publisher = {SPIE},
    year = {1997},
    journal = {Algorithms for Synthetic Aperture Radar Imagery IV},
    volume = {3070},
    number = {1},
    pages = {33-42},
    location = {Orlando, FL, USA},
    url = {http://link.aip.org/link/?PSI/3070/33/1},
    doi = {10.1117/12.281576},
    keywords = {SAR Processing, Polar Format Algorithm, PFA, Range Migration Algorithm, RMA,omega-k, correction of wavefront curvature effects, Spotlight SAR, Spotlight-mode data},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/jakowatzWahlThompsonDorenSpotlightPolarFormat1997.pdf},
    owner = {ofrey},
    
    }
    


  4. Michael Y. Jin. High Quality Spotlight SAR Processing Algorithm Designed for LightSAR Mission. In IGARSS '97, International Geoscience and Remote Sensing Symposium, volume 29, pages 477-480, August 1997.
    Keywords: SAR Processing, Subband Images, LightSAR, SIR-C, Spotlight SAR.
    Abstract: A high quality spotlight SAR processing algorithm is presented. In this algorithm, subband images of the radar illuminated spot are processed using well known strip mode processing algorithms. A full resolution image is then formed by (1) merging the spectra of subband images into a full band spectrum, and (2) taking an inverse FFT. Advantages of this algorithm include (1) higher image quality, (2) higher processing throughput rate, and (3) lower S/W development cost. The image quality achieved by this algorithm is better than that previously achieved by the backprojection algorithm. The fine image quality is demonstrated by the SIR-C spotlight SAR images.

    @INPROCEEDINGS{Jin97:LightSAR,
    author = {Michael Y. Jin},
    title = {{High Quality Spotlight SAR Processing Algorithm Designed for LightSAR Mission}},
    booktitle = {IGARSS '97, International Geoscience and Remote Sensing Symposium},
    year = {1997},
    volume = {29},
    pages = {477-480},
    month = Aug,
    abstract = {A high quality spotlight SAR processing algorithm is presented. In this algorithm, subband images of the radar illuminated spot are processed using well known strip mode processing algorithms. A full resolution image is then formed by (1) merging the spectra of subband images into a full band spectrum, and (2) taking an inverse FFT. Advantages of this algorithm include (1) higher image quality, (2) higher processing throughput rate, and (3) lower S/W development cost. The image quality achieved by this algorithm is better than that previously achieved by the backprojection algorithm. The fine image quality is demonstrated by the SIR-C spotlight SAR images.},
    keywords = {SAR Processing, Subband Images, LightSAR, SIR-C, Spotlight SAR},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/jin97.pdf} 
    }
    


  5. Chan Hian Lim and Yeo Tat Soon. Non-iterative spotlight SAR autofocusing using a modified phase-gradient approach. In Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International, volume 1, pages 484--486vol.1, 3-8 Aug. 1997.
    Keywords: SAR Processing, Autofocus, Phase Gradient Autofocus.
    @INPROCEEDINGS{Lim1997,
    author = {Chan Hian Lim and Yeo Tat Soon},
    title = {Non-iterative spotlight SAR autofocusing using a modified phase-gradient approach},
    booktitle = {Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International},
    year = {1997},
    volume = {1},
    pages = {484--486vol.1},
    month = {3-8 Aug.},
    doi = {10.1109/IGARSS.1997.615922},
    keywords = {SAR Processing, Autofocus, Phase Gradient Autofocus},
    owner = {ofrey} 
    }
    


  6. P. Lombardo and F. Lombardini. Multi-baseline SAR interferometry for terrain slope adaptivity. In Radar Conference, 1997., IEEE National, pages 196--201, 13-15 May 1997.
    @INPROCEEDINGS{Lombardo1997,
    author = {Lombardo, P. and Lombardini, F.},
    title = {Multi-baseline SAR interferometry for terrain slope adaptivity},
    booktitle = {Radar Conference, 1997., IEEE National},
    year = {1997},
    pages = {196--201},
    month = {13-15 May},
    doi = {10.1109/NRC.1997.588303},
    owner = {ofrey} 
    }
    


  7. S. Lawrence Marple, Jr.. Computing the discrete-time analytic signal via FFT. In Signals, Systems and Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on, volume 2, pages 1322--1325, 1997.
    Keywords: Analytic Signal, discrete time systems, fast Fourier transforms, frequency-domain analysis, signal sampling, FFT, complex-valued decimated N/2-point discrete-time analytic signal, complex-valued interpolated NM-point discrete-time analyticsignal, complex-valued standard N-point discrete time analytic signal, discrete-time analytic signal, frequency-domain algorithms, real-valued N-point discrete-time signal, sample rate, transform end points, Hilbert Transform.
    Abstract: Starting with a real-valued N-point discrete-time signal,frequency-domain algorithms are provided for computing (1) thecomplex-valued standard N-point discrete time `analytic' signal of thesame sample rate, (2) the complex-valued decimated N/2-pointdiscrete-time analytic signal of half the original sample rate, and(3) the complex-valued interpolated NM-point discrete-time `analytic'signal of M times the original sample rate. Special adjustment oftransform end points is shown to generate proper discrete-time`analytic' signals

    @INPROCEEDINGS{marple97:AnalyticSignal,
    author = {{Marple, Jr.}, S. Lawrence},
    title = {Computing the discrete-time analytic signal via FFT},
    booktitle = {Signals, Systems and Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on},
    year = {1997},
    volume = {2},
    pages = {1322--1325},
    abstract = {Starting with a real-valued N-point discrete-time signal,frequency-domain algorithms are provided for computing (1) thecomplex-valued standard N-point discrete time `analytic' signal of thesame sample rate, (2) the complex-valued decimated N/2-pointdiscrete-time analytic signal of half the original sample rate, and(3) the complex-valued interpolated NM-point discrete-time `analytic'signal of M times the original sample rate. Special adjustment oftransform end points is shown to generate proper discrete-time`analytic' signals},
    keywords = {Analytic Signal, discrete time systems, fast Fourier transforms, frequency-domain analysis, signal sampling, FFT, complex-valued decimated N/2-point discrete-time analytic signal, complex-valued interpolated NM-point discrete-time analyticsignal, complex-valued standard N-point discrete time analytic signal, discrete-time analytic signal, frequency-domain algorithms, real-valued N-point discrete-time signal, sample rate, transform end points, Hilbert Transform},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/marple97.pdf},
    url = {http://ieeexplore.ieee.org/iel4/5559/14886/00679118.pdf} 
    }
    


  8. H. Rudolf, D. Tarchi, and A.J. Sieber. Combination of linear and circular SAR for 3-D features. In Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International, volume 4, pages 1551--1553, 1997.
    Keywords: SAR Processing, SAR Tomography, Tomography, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, InSAR, LISA, buried object detection, circular SAR, circular aperture, geophysical measurement technique, ground penetrating radar, interferometric SAR, land surface, linear SAR, linear SAR outdoor system, mine detection, radar imaging, radar remote sensing, terrain mapping, three dimensional feature, vegetation mapping.
    Abstract: An economic and fast change of an existing radar system with alinear synthetic aperture into a system with 3D capabilities ispresented. For actual and future fields of radar in remote sensing, suchas high precision mine detection, highly accurate vegetationmeasurements and interferometric SAR applications the importance ofresolution in the third dimension is growing fast. Until now a such aradar required an expensive phased array antenna, a costly narrow-beamscanning system, or a combination of both of them. In order to overcomethese problems, the combination of an existing linear SAR outdoor system(LISA) with a circular aperture for vertical resolution led to a fastand economic additional 3rd dimension feature. A test experiment hasbeen performed to validate the system and the implemented SAR processor.The very promising results are presented.

    @INPROCEEDINGS{rudolfTarchiSieber97:Tomography,
    author = {Rudolf, H. and Tarchi, D. and Sieber, A.J.},
    title = {Combination of linear and circular SAR for 3-D features},
    booktitle = {Geoscience and Remote Sensing, 1997. IGARSS '97. 'Remote Sensing - A Scientific Vision for Sustainable Development'., 1997 IEEE International},
    year = {1997},
    volume = {4},
    pages = {1551--1553},
    abstract = {An economic and fast change of an existing radar system with alinear synthetic aperture into a system with 3D capabilities ispresented. For actual and future fields of radar in remote sensing, suchas high precision mine detection, highly accurate vegetationmeasurements and interferometric SAR applications the importance ofresolution in the third dimension is growing fast. Until now a such aradar required an expensive phased array antenna, a costly narrow-beamscanning system, or a combination of both of them. In order to overcomethese problems, the combination of an existing linear SAR outdoor system(LISA) with a circular aperture for vertical resolution led to a fastand economic additional 3rd dimension feature. A test experiment hasbeen performed to validate the system and the implemented SAR processor.The very promising results are presented.},
    keywords = {SAR Processing, SAR Tomography, Tomography, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, InSAR, LISA, buried object detection, circular SAR, circular aperture, geophysical measurement technique, ground penetrating radar, interferometric SAR, land surface, linear SAR, linear SAR outdoor system, mine detection, radar imaging, radar remote sensing, terrain mapping, three dimensional feature, vegetation mapping},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/rudolfTarchiSieber97.pdf},
    url = {http://ieeexplore.ieee.org/iel3/4810/13305/00608939.pdf} 
    }
    


  9. Shunhua Wang and Xiaotao Huang. Autofocus techniques for reducing phase errors in UWB-SAR. In IEEE National Aerospace and Electronics Conference, NAECON 1997, volume 2, pages 1009--1014, July 1997.
    Keywords: SAR Processing, Autofocus, Phase Gradient Autofocus, PGA, Residual Motion Errors, UWB SAR.
    @INPROCEEDINGS{wangHuang1997:Autofocus,
    author = {Shunhua Wang and Xiaotao Huang},
    title = {Autofocus techniques for reducing phase errors in UWB-SAR},
    booktitle = {IEEE National Aerospace and Electronics Conference, NAECON 1997},
    year = {1997},
    volume = {2},
    pages = {1009--1014},
    month = {jul},
    doi = {10.1109/NAECON.1997.622768},
    keywords = {SAR Processing, Autofocus, Phase Gradient Autofocus, PGA, Residual Motion Errors, UWB SAR},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/wangHuang1997.pdf},
    url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=622768&isnumber=13493} 
    }
    


  10. Weidong Yu and Zhaoda Zhu. Comparison of Doppler Centroid Estimation Methods in SAR. In IEEE National Aerospace and Electronics Conference NAECON, volume 2, pages 1015--1018, 1997.
    Keywords: SAR Processing, Doppler Centroid Estimation, Energy Balancing, Matched Correlation Estimator, Maximum Likelyhood Estimator, Sign Doppler Estimator, SDE, Correlation Doppler Estimator, CDE, ERS.
    Abstract: This paper compares five Doppler centroid estimation methods which are: energy balancing, matched-correlation maximum likelihood, correlation Doppler estimator (CDE) and sign Doppler estimator (SDE). Their estimation performances in raw data domain and image domain are studied. The computer simulation results are presented. ERS-1 raw data are also used to test the performances of every method.

    @INPROCEEDINGS{yuZhu97:DopCen,
    author = {Weidong Yu and Zhaoda Zhu},
    title = {{Comparison of Doppler Centroid Estimation Methods in SAR}},
    booktitle = {IEEE National Aerospace and Electronics Conference NAECON},
    year = {1997},
    volume = {2},
    pages = {1015--1018},
    abstract = {This paper compares five Doppler centroid estimation methods which are: energy balancing, matched-correlation maximum likelihood, correlation Doppler estimator (CDE) and sign Doppler estimator (SDE). Their estimation performances in raw data domain and image domain are studied. The computer simulation results are presented. ERS-1 raw data are also used to test the performances of every method.},
    keywords = {SAR Processing, Doppler Centroid Estimation, Energy Balancing, Matched Correlation Estimator, Maximum Likelyhood Estimator, Sign Doppler Estimator, SDE, Correlation Doppler Estimator, CDE, ERS},
    owner = {ofrey},
    pdf = {http://www.geo.uzh.ch/~ofrey/protected/PAPERS/yuZhu97.pdf},
    url = {http://ieeexplore.ieee.org/iel3/4871/13493/00622769.pdf} 
    }
    



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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 .


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