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Publications about 'decomposition'

Books and proceedings

  1. Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Mathematics for Machine Learning. Campbridge University Press, 2020. Keyword(s): Machine Learning, Textbook, Introduction to Machine Learning, Mathematical Foundations, Linear Algebra, Analytic Geometry, Matrix Decompositions, Vector Calculus, Probability, Distributions, Optimization, Central Machine Learning Problems, Models and Data, Linear Regression, Dimensionality Reduction, Principle Components Analysis, Density Estimation, Gaussian Mixture, Support Vector Machines. [bibtex-entry]


  2. Jong-Sen Lee and Eric Pottier. Polarimetric radar imaging: from basics to applications. CRC Press, Taylor and Francis, 2009. Keyword(s): SAR Processing, Polarimetry, Polarimetric Decomposition. [bibtex-entry]


Articles in journal or book chapters

  1. G. H. X. Shiroma and M. Lavalle. Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms. IEEE Transactions on Geoscience and Remote Sensing, 58(6):3754-3777, June 2020. Keyword(s): backscatter, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation, vegetation mapping, digital terrain, canopy height models, InSAR backscatter-height histogram, interferometric synthetic aperture radar backscatter-height histograms, single-look backscatter measurements, InSAR phase height, InSAR histogram, LiDAR waveforms, ground topography, full-polarimetric L-band uninhabited aerial vehicle synthetic aperture radar data, forest height, Histograms, Laser radar, Forestry, Vegetation mapping, Backscatter, Synthetic aperture radar, Digital elevation models (DEMs), forest height, interferometry, L-band, polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR), polarimetry, SAR. [Abstract] [bibtex-entry]


  2. Guodong Jin, Kaiyu Liu, Yunkai Deng, Yu Sha, Robert Wang, Dacheng Liu, Wei Wang, Yajun Long, and Yongwei Zhang. Nonlinear Frequency Modulation Signal Generator in LT-1. IEEE Geoscience and Remote Sensing Letters, 16(10):1570-1574, October 2019. Keyword(s): Signal generators, Frequency modulation, Synthetic aperture radar, Field programmable gate arrays, Complexity theory, Matrix decomposition, Signal to noise ratio, Nonlinear frequency modulation (NLFM) signal, signal generator, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  3. A. G. Mullissa, D. Perissin, V. A. Tolpekin, and A. Stein. Polarimetry-Based Distributed Scatterer Processing Method for PSI Applications. IEEE Trans. Geosci. Remote Sens., PP(99):1-12, 2018. Keyword(s): Coherence, Interferometry, Matrix decomposition, Optimization, Synthetic aperture radar, Adaptive filtering, distributed scatterers (DSs), multitemporal interferometric synthetic aperture radar (InSAR), permanent scatterer interferometry (PSI), polarimetric optimization, polarimetric synthetic aperture radar interferometry.. [Abstract] [bibtex-entry]


  4. S. Zhou, L. Yang, L. Zhao, and G. Bi. Quasi-Polar-Based FFBP Algorithm for Miniature UAV SAR Imaging Without Navigational Data. IEEE Transactions on Geoscience and Remote Sensing, 55(12):7053-7065, December 2017. Keyword(s): autonomous aerial vehicles, image resolution, radar imaging, radar resolution, synthetic aperture radar, polar coordinate system, phase autofocusing, trajectory deviations, quasipolar grid image, data-driven motion compensation, back-projection algorithm, unmanned aerial vehicle synthetic aperture radar applications, time-domain algorithms, trajectory designation, flexible geometric configuration, navigational data, miniature UAV SAR imaging, FFBP algorithm, miniature UAV-SAR test bed, raw data experiments, high-resolution SAR applications, image focusing quality, analytical image spectrum, phase errors, quasipolar coordinate system, Synthetic aperture radar, Trajectory, Unmanned aerial vehicles, Signal processing algorithms, Algorithm design and analysis, Fast factorized back-projection (FFBP), motion compensation (MOCO), quasi-polar coordinate system, synthetic aperture radar (SAR), unmanned aerial vehicle (UAV). [Abstract] [bibtex-entry]


  5. Ning Cao, Hyongki Lee, and H. C. Jung. A Phase-Decomposition-Based PSInSAR Processing Method. IEEE Transactions on Geoscience and Remote Sensing, 54(2):1074-1090, February 2016. Keyword(s): radar interferometry, synthetic aperture radar, coherence, distributed scatterer, eigendecomposition, measurement points, multiple scattering mechanisms, persistent scatterer network density, phase-decomposition-based persistent scatterer InSAR method, spatial density, Coherence, Covariance matrices, Decision support systems, Eigenvalues and eigenfunctions, Synthetic aperture radar, Urban areas, Differential interferometric synthetic aperture radar (DInSAR), distributed scatterer (DS) interferometry, persistent scatterer (PS) interferometry (PSI), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  6. Gianfranco Fornaro, Simona Verde, Diego Reale, and Antonio Pauciullo. CAESAR: An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline - Multitemporal Interferometric SAR Processing. IEEE Trans. Geosci. Remote Sens., 53(4):2050-2065, April 2015. Keyword(s): SAR Processing, SAR Tomography, Component Extraction And selection SAR, CEASAR, Spaceborne SAR, multilook SAR tomography, X-Band, Urban, Persistent Scatterer Interferometry, PSI, covariance matrices, geophysical signal processing, matrix decomposition, principal component analysis, radar interferometry, radar signal processing, remote sensing by radar, synthetic aperture radar, tomography, CAESAR, Component Extraction and Selection SAR algorithm, SAR tomography, SqueeSAR, classical interferometric processing, coherence losses, covariance matrix analysis, covariance matrix decomposition, data covariance matrix, equivalent scattering mechanisms, ground deformation monitoring, high resolution Cosmo-SkyMed data, high resolution interferometric SAR sensors, interferometic stac filtering, multibaseline-multitemporal interferometric SAR processing, multilook operation, multiple scatterers, principal component analysis, synthetic aperture radar, Covariance matrices, Interferometry, Monitoring, Scattering, Spatial resolution, Synthetic aperture radar, Tomography, 3-D, 4-D and multidimensional (Multi-D) SAR imaging, Covariance matrix decomposition, SAR interferometry (InSAR), SAR tomography. [Abstract] [bibtex-entry]


  7. O. Ponce, P. Prats-Iraola, R. Scheiber, A. Reigber, A. Moreira, and E. Aguilera. Polarimetric 3-D Reconstruction From Multicircular SAR at P-Band. IEEE_J_GRSL, 11(4):803-807, April 2014. Keyword(s): airborne radar, array signal processing, calibration, compressed sensing, image reconstruction, image resolution, optical focusing, radar imaging, radar polarimetry, radar resolution, singular value decomposition, synthetic aperture radar, 2D image stacking, 3D cone-shaped sidelobe suppression, 3D reconstruction polarimetry, BF, CS, DLR, FFBP, German Aerospace Center F-SAR system, LOS, P-band, SVD, Vordemwald Switzerland, beamforming, circular flight, complex reflectivity solution, compressive sensing, constant phase offset estimation, fast-factorized back projection, line of sight, multicircular synthetic aperture radar, phase calibration method, polarimetric MCSAR airborne experiment, Apertures, Calibration, Focusing, Image resolution, Remote sensing, Synthetic aperture radar, Circular synthetic aperture radar (SAR) (CSAR), compressive sensing (CS), phase calibration, polarimetric SAR (PolSAR), singular value decomposition (SVD), tomography. [bibtex-entry]


  8. S. Zwieback and I. Hajnsek. Statistical Tests for Symmetries in Polarimetric Scattering Coherency Matrices. IEEE_J_GRSL, 11(1):308-312, January 2014. Keyword(s): airborne radar, covariance matrices, geophysical equipment, geophysical techniques, invariance, radar polarimetry, scattering, statistical testing, Freeman-Durden decomposition, SAR polarimetry, airborne L-band data, covariance matrix, likelihood-ratio testing, mature rape field, polarimetric scattering coherency matrix, reflection invariance hypothesis, reflection symmetry, second-order statistics, synthetic aperture radar polarimetry, vegetation growth, Parametric statistics, polarimetric synthetic aperture radar, radar remote sensing. [bibtex-entry]


  9. Kanika Goel and Nico Adam. An advanced algorithm for deformation estimation in non-urban areas. ISPRS Journal of Photogrammetry and Remote Sensing, 73(0):100 - 110, 2012. Keyword(s): SAR Processing, Interferometry, SAR Interferometry, InSAR, DInSAR, Adaptive spatial phase filtering, Distributed scatterer (DS), L1-norm minimization, Singular Value Decompostion, SVD, L2-norm minimization, Small Baseline Subset Algorithm, SBAS, TerraSAR-X, Spaceborne SAR, X-band. [Abstract] [bibtex-entry]


  10. Stefano Tebaldini and Fabio Rocca. Multibaseline Polarimetric SAR Tomography of a Boreal Forest at P- and L-Bands. IEEE Trans. Geosci. Remote Sens., 50(1):232-246, January 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, ESA campaign BioSAR, Krycklan River catchment, L-band analysis, Northern Sweden, P-band analysis, PolInSAR approach, algebraic synthesis technique, boreal forest, direct volume backscattering process, ground-volume interaction process, multibaseline polarimetric SAR tomography, multipolarimetric data acquisition, polarimetric analysis, remote sensing, single-baseline data analysis, tomographic analysis, tomographic imaging method, vegetation layer analysis, backscatter, data acquisition, forestry, radar interferometry, radar polarimetry, remote sensing by radar, rivers, synthetic aperture radar, tomography, vegetation mapping;. [Abstract] [bibtex-entry]


  11. A. Budillon, A. Evangelista, and G. Schirinzi. Three-Dimensional SAR Focusing From Multipass Signals Using Compressive Sampling. IEEE Trans. Geosci. Remote Sens., 49(1):488 -499, jan. 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography, 3D SAR data imaging, SAR tomography, compressive sampling, image formation, multipass SAR data, multipass signals, optimization problem, spaced acquisition orbits, three-dimensional synthetic aperture radar, tomographic imaging, truncated singular value decomposition technique, image sampling, optimisation, radar imaging, synthetic aperture radar, tomography;. [Abstract] [bibtex-entry]


  12. Emmanuel J. Candès, Xiaodong Li, Yi Ma, and John Wright. Robust Principal Component Analysis. J. ACM, 58(3), June 2011. Keyword(s): Principal components, sparsity, robustness vis-a-vis outliers, L1-norm minimization, nuclear-norm minimization, duality, low-rank matrices, video surveillance. [Abstract] [bibtex-entry]


  13. Othmar Frey and Erich Meier. Analyzing Tomographic SAR Data of a Forest With Respect to Frequency, Polarization, and Focusing Technique. IEEE Trans. Geosci. Remote Sens., 49(10):3648-3659, October 2011. Keyword(s): Airborne radar, Array signal processing, Capon, Capon beamformer, L-band, P-band, SAR processing, SAR tomography, beamforming, Focusing, forestry, interferometry, InSAR, multibaseline, multiple signal classification, MUSIC, polarimetry, Remote Sensing, synthetic aperture radar, SAR, scattering, three-dimensional imaging, 3-D imaging, time-domain back-projection, TDBP, tomography, Vegetation. [Abstract] [bibtex-entry]


  14. Dochul Yang and Sean M. Buckley. Estimating High-Resolution Atmospheric Phase Screens From Radar Interferometry Data. IEEE Transactions on Geoscience and Remote Sensing, 49(8):3117 -3128, August 2011. Keyword(s): SAR Processing, Persistent Scatterer Interferometry, PSI, Arizona, HiRAPS algorithm, InSAR deformation measurement, Phoenix, Radarsat-1 image, USA, bubbles, deformation time series, height error difference, high-resolution atmospheric phase screen estimation, high-spatial-frequency atmospheric effects, multiinterferogram phase correlation, nonlinear deformation, persistent scatterer algorithm, pixel density, radar interferometry data, root mean square error, satellite-orbit repeat cycle, short-period interferogram, singular value decomposition, spatiotemporal filtering, time series algorithm, time-linear deformation, topographic phase contribution, geophysical image processing, geophysical techniques, mean square error methods, radar imaging, radar interferometry, remote sensing by radar, singular value decomposition, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]


  15. Maxim Neumann, Laurent Ferro-Famil, and Andreas Reigber. Estimation of Forest Structure, Ground, and Canopy Layer Characteristics From Multibaseline Polarimetric Interferometric SAR Data. IEEE Trans. Geosci. Remote Sens., 48(3):1086-1104, March 2010. Keyword(s): SAR Processing, Multibaseline SAR, Germany, PolInSAR, RVoG, vertical structure, Traunstein test site, airborne SAR, L-band, angular distribution, canopy layer heights, differential extinction, double-bounce ground-trunk interactions, forest layer heights, forest parameter retrieval, forest structure estimation, forest vegetation, ground topography, ground-to-volume ratio, ground-truth measurements, interferometric coherence, particle scattering anisotropy, polarimetric Synthetic Aperture Radar interferometry, polarimetric decomposition, polarimetric scattering media model, polarization orientation randomness, random-volume-over-ground PolInSAR parameter inversion, repeat-pass configuration, root-mean-square error, surface scattering, temporal decorrelation, tree morphology, volume coherency matrices, volumetric canopy, volumetric understory scattering, wave attenuation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  16. Helmut Rott, Simon H. Yueh, Donlad W. Cline, Claude Duguay, Richard Essery, Christian Haas, Florence Heliere, Michael Kern, Giovanni Macelloni, Eirik Malnes, Thomas Nagler, Jouni Pulliainen, H. Rebhan, and A. Thompson. Cold Regions Hydrology High-Resolution Observatory for Snow and Cold Land Processes. Proceedings of the IEEE, 98(5):752-765, May 2010. Keyword(s): glaciology, ice, remote sensing by radar, sea ice, snow, synthetic aperture radar, water, climate models, cold land processes, cold regions hydrology high-resolution observatory satellite mission, cryosphere, frequency 17.2 GHz, frequency 9.6 GHz, glaciers, global snow observations, global water cycle, lake ice, land snow, scattering signal decomposition, sea ice, synthetic aperture radar, water cycle variability prediction, Hydrology, Ice surface, Lakes, Land surface, Observatories, Satellites, Sea ice, Sea surface, Snow, Water resources, Climate research, earth observation satellite, glaciers, snow cover, synthetic aperture radar, water resources. [Abstract] [bibtex-entry]


  17. Teng Wang, Mingsheng Liao, and Daniele Perissin. InSAR Coherence-Decomposition Analysis. IEEE Geosci. Remote Sens. Lett., 7(1):156-160, January 2010. Keyword(s): SAR Processing, geophysical signal processing, radar interferometry, radar signal processing, radar theory, remote sensing by radar, spaceborne radar, synthetic aperture radar, terrain mapping, topography (Earth), Badong, China, European Remote Sensing satellite tandem data, InSAR coherence decomposition analysis, acquisition geometry, classification algorithms, distributed target, geometrical coherence, geometrical decorrelation, mountain areas, phase coherence, pointlike target identification, sensor acquisition parameters, synthetic aperture radar interferometry, temporal coherence estimation, temporal decorrelation, terrain temporal changes, topographic model, Coherence estimation, synthetic aperture radar interferometry (InSAR);. [Abstract] [bibtex-entry]


  18. Xiao Xiang Zhu and Richard Bamler. Tomographic SAR Inversion by $L_1$-Norm Regularization --- The Compressive Sensing Approach. IEEE Trans. Geosci. Remote Sens., 48(10):3839-3846, 2010. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry, Anisotropic magnetoresistance, Azimuth, Control systems, Image reconstruction, Radar tracking, Reconstruction algorithms, Signal resolution, Spaceborne radar, Synthetic aperture radar, Tomography, image reconstruction, image resolution, radar imaging, radar resolution, remote sensing by radar, spaceborne radar, synthetic aperture radar, 3D imaging, 3D tomographic resolution element, L1-norm regularization, azimuth-range cell, compressive sensing, elevation direction, point localization, spaceborne SAR systems, super-resolution reconstruction algorithm, synthetic aperture radar, tomographic SAR inversion, tomographic elevation resolution, Compressive sensing (CS), TerraSAR-X, differential synthetic aperture radar tomography (D-TomoSAR), urban mapping. [Abstract] [bibtex-entry]


  19. Xiao Xiang Zhu and Richard Bamler. Very High Resolution Spaceborne SAR Tomography in Urban Environment. IEEE Trans. Geosci. Remote Sens., 48(12):4296-4308, December 2010. Keyword(s): SAR Processing, SAR Tomography, Tomography, Singular Value Decomposition, SVD, InSAR, SAR Interferometry, Interferometry, Apertures, Floors, High-resolution imaging, Image reconstruction, Radar scattering, Reflectivity, Spaceborne radar, Spectral analysis, Tomography, Urban areas, parameter estimation, radar imaging, singular value decomposition, spaceborne SAR, spectral analysis, synthetic aperture radar, tomography, 3D imaging, COSMO-Skymed, TerraSAR-X, TomoSAR, Wiener-type regularization, azimuth-range pixel, elevation direction, maximum a posteriori estimator, meter-resolution spaceborne SAR systems, parametric estimation algorithms, radar reflectivity, reconstructions, singular-value decomposition method, spaceborne SAR data, spectral analysis, synthetic aperture principle, synthetic aperture radar tomography, tomographic reconstruction, urban environment, very high resolution spaceborne SAR tomography, Differential synthetic aperture radar tomography (D-TomoSAR), TerraSAR-X, spotlight SAR, urban mapping;. [Abstract] [bibtex-entry]


  20. Gianfranco Fornaro and Antonio Pauciullo. LMMSE 3-D SAR Focusing. IEEE Trans. Geosci. Remote Sens., 47(1):214-223, January 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, data acquisition, remote sensing by radar, singular value decomposition, synthetic aperture radar, LMMSE, synthetic aperture radar imaging systems, antenna SAR sensor, atmospheric phase miscalibration, atmospheric residual miscalibration, beamforming, data correlation properties, data integration, linear minimum mean square error method, multistatic data acquisition, satellite technology, singular values decomposition inversion, stochastic process. [Abstract] [bibtex-entry]


  21. Irena Hajnsek, Thomas Jagdhuber, Helmut Schön, and Konstantinos P. Papathanassiou. Potential of Estimating Soil Moisture Under Vegetation Cover by Means of PolSAR. IEEE Transactions on Geoscience and Remote Sensing, 47(2):442-454, Feb. 2009. Keyword(s): SAR Processing, agriculture, crops, moisture, radar polarimetry, remote sensing by radar, soil, synthetic aperture radarAgriSAR campaign, L-band, PolSAR images, PolSAR, agricultural vegetation, canonical scattering components, crop types, dihedral components, polarimetric SAR acquisitions, scattering processes, soil moisture estimation, synthetic aperture radar, vegetation cover, ESAR, Airborne SAR. [Abstract] [bibtex-entry]


  22. Guoxiang Liu, Sean M. Buckley, Xiaoli Ding, Qiang Chen, and Xiaojun Luo. Estimating Spatiotemporal Ground Deformation With Improved Persistent-Scatterer Radar Interferometry. IEEE Trans. Geosci. Remote Sens., 47(9):3209-3219, September 2009. Keyword(s): AD 1992 to 2000, Arizona, C-band SAR images, EMD approach, European Remote Sensing 1-2 satellites, PS-InSAR technique, PS-neighborhood networking approach, Phoenix, USA, atmospheric artifacts, atmospheric signals, empirical mode decomposition approach, least squares method, linear deformation rates, nonlinear deformation, persistent-scatterer interferometric synthetic aperture radar technique, singular value decomposition, spatial-temporal decorrelation, subsidence, synthetic aperture radar images, temporally coherent radar targets, time series, topographic errors, geophysical techniques, radar interferometry, remote sensing by radar, synthetic aperture radar, topography (Earth);. [Abstract] [bibtex-entry]


  23. F. Lombardini, M. Pardini, G. Fornaro, F. Serafino, L. Verrazzani, and M. Costantini. Linear and adaptive spaceborne threedimensional SAR tomography: a comparison on real data. IET Radar, Sonar Navigation, 3(4):424-436, August 2009. Keyword(s): ERS satellite urban data, SAR interferometry concept, adaptive beamforming, adaptive spaceborne three-dimensional SAR tomography, linear spaceborne three-dimensional SAR tomography, singular value decomposition, synthetic aperture radar imaging, array signal processing, geophysical signal processing, radar imaging, remote sensing by radar, singular value decomposition, spaceborne radar, synthetic aperture radar, tomography. [Abstract] [bibtex-entry]


  24. Jong-Sen Lee, T.L. Ainsworth, J.P. Kelly, and C. Lopez-Martinez. Evaluation and Bias Removal of Multilook Effect on Entropy/Alpha/Anisotropy in Polarimetric SAR Decomposition. IEEE Trans. Geosci. Remote Sens., 46(10):3039-3052, Oct. 2008. Keyword(s): Monte Carlo methods, geophysical techniques, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetationGerman Aerospace Research Center, JPL, Jet Propulsion Laboratory, L-band Advanced Land Observing Satellite, Monte Carlo simulation, airborne X-band polarimetric SAR, airborne interferometric SAR, alpha estimation, anisotropy estimation, bias removal algorithm, entropy estimation, forest, geophysical parameter estimation, grassland, multilook processing, phased array type L-band SAR, polarimetric SAR decomposition, scattering mechanisms, urban returns. [Abstract] [bibtex-entry]


  25. Shane R. Cloude. Dual-Baseline Coherence Tomography. IEEE Geoscience and Remote Sensing Letters, 4(1):127-131, January 2007. Keyword(s): SAR Processing, SAR Tomography, Tomography, geophysical techniques, radar applications, singular value decomposition, vegetation, EMSL, European Microwave Signature Laboratory, dual-baseline coherence tomography, maize plants, matrix singular value decomposition, numerical stability, regularization technique, scattering mechanisms, tomograms. [Abstract] [bibtex-entry]


  26. Davide D'Aria and Andrea Monti-Guarnieri. High-Resolution Spaceborne SAR Focusing by SVD-Stolt. IEEE Geoscience and Remote Sensing Letters, 4(4):639-643, October 2007. Keyword(s): Stolt interpolation, geophysical application, high-resolution spaceborne SAR focusing, microwave SAR, motion compensation, orbit curvature, singular value decomposition-Stolt approach, synthetic aperture radar, focusing, geophysical techniques, interpolation, motion compensation, radar resolution, remote sensing by radar, singular value decomposition, spaceborne radar, synthetic aperture radar. [Abstract] [bibtex-entry]


  27. Ridha Touzi. Target Scattering Decomposition in Terms of Roll-Invariant Target Parameters. IEEE Trans. Geosci. Remote Sens., 45(1):73-84, January 2007. Keyword(s): SAR Processing, Polarimetric Decomposition, Canada, Cloude-Pottier incoherent target decomposition, Cloude-Pottier scattering type, Kennaugh-Huynen scattering matrix condiagonalization, Ontario, Pauli basis, Ramsar Mer Bleue wetland site, asymmetric scattering, coherent target scattering, entropy, maximum polarization parameters, polarimetric Convair-580 airborne SAR, polarization basis invariant representation, roll invariant target parameters, scattering vector model, symmetric scattering magnitude, symmetric scattering phase, synthetic aperture radar, target orientation angle, target phase parameters, target scattering decomposition, S-matrix theory, airborne radar, geophysical techniques, radar theory, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]


  28. Y. Yamaguchi, Y. Yajima, and H. Yamada. A four-component decomposition of POLSAR images based on the coherency matrix. IEEE Geosci. Remote Sens. Lett., 3(3):292 -296, July 2006. Keyword(s): POLSAR image decomposition, coherency matrix, covariance matrix, four-component decomposition, nonreflection symmetric scattering, polarimetric SAR, synthetic aperture radar, covariance matrices, geophysical techniques, image processing, radar polarimetry, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]


  29. Y. Yamaguchi, T. Moriyama, M. Ishido, and H. Yamada. Four-component scattering model for polarimetric SAR image decomposition. IEEE Trans. Geosci. Remote Sens., 43(8):1699-1706, August 2005. Keyword(s): SAR Processing, polarimetric decomposition, Yamaguchi decomposition, asymmetric covariance matrix, cloud, co-pol correlation, cross-pol correlation, dipole scatterers, double bounce scattering, four-component scattering model, helix scattering power, image decomposition, nonreflection symmetric scattering, polarimetric SAR, probability density function, radar polarimetry, reflection symmetry condition, scattering contribution decomposition, surface scattering, symmetric covariance matrix, synthetic aperture radar, three-component decomposition method, urban area scattering, volume scattering, covariance matrices, geophysical signal processing, probability, radar polarimetry, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]


  30. R. Lanari, O. Mora, M. Manunta, J. J. Mallorqui, P. Berardino, and E. Sansosti. A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. IEEE Trans. Geosci. Remote Sens., 42(7):1377-1386, July 2004. Keyword(s): radar resolution, radiowave interferometry, remote sensing by radar, singular value decomposition, synthetic aperture radar, terrain mapping, topography (Earth), DIFSAR interferograms, European Remote Sensing satellites, atmospheric phase artifacts, differential SAR interferometry, digital elevation model, geodetic measurements, ground deformation, large-scale deformations, multilook data, residual phase components, single-look data, singular value decomposition, small-baseline subset, spatial resolutions, synthetic aperture radar, temporal evolution, topographic errors, Buildings, Digital elevation models, Interferometry, Large-scale systems, Phase detection, Phase estimation, Singular value decomposition, Spatial resolution, Synthetic aperture radar, Testing, Ground deformations, SAR, SAR interferometry, synthetic aperture radar. [Abstract] [bibtex-entry]


  31. G. Fornaro, F. Serafino, and F. Soldovieri. Three-dimensional focusing with multipass SAR data. IEEE Trans. Geosci. Remote Sens., 41(3):507-517, 2003. Keyword(s): SAR Processing, SAR Tomography, Tomography, focusing, synthetic aperture radar, 3D tomography reconstruction, linear inverse problem, multipass SAR data, multipass synthetic aperture radar data, nonuniform orbit separation, processing technique, scattering mechanism, singular value decomposition, volumetric scattering. [Abstract] [bibtex-entry]


  32. P. Berardino, G. Fornaro, R. Lanari, and E. Sansosti. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 40(11):2375-2383, November 2002. Keyword(s): SAR Processing, SBAS, small baseline differential SAR interferometry, DInSAR, InSAR, SAR Interferometry, Campi Flegrei caldera, European Remote Sensing satellites, Italy, Naples, SAR interferometry, atmospheric phase artifacts filtering, differential synthetic aperture radar interferometry algorithm, ground deformations, independent SAR acquisition datasets, singular value decomposition method, spatial information, surface deformation monitoring algorithm, temporal evolution, temporal information, Earth crust, radiowave interferometry, remote sensing by radar, synthetic aperture radar, tectonics, volcanology. [Abstract] [bibtex-entry]


  33. Andrea Monti-Guarnieri and Pietro Guccione. Optimal Focusing for Low Resolution ScanSAR. IEEE Transactions on Geoscience and Remote Sensing, 39(3):479-491, March 2001. Keyword(s): SAR Processing, ScanSAR, Focusing. [Abstract] [bibtex-entry]


  34. S.R. Cloude, J. Fortuny, J.M. Lopez-Sanchez, and A.J. Sieber. Wide-band polarimetric radar inversion studies for vegetation layers. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2430-2441, September 1999. Keyword(s): backscatter, forestry, geophysical techniques, image classification, radar cross-sections, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation mappingbackscatter, canopy, complex volume scattering, entropy-alpha target decomposition scheme, ficus tree, fig, fir tree, forest, geophysical measurement technique, image classification scheme, inversion algorithm, parametric inversion, polarimetric radar inversion, radar scattering, radar theory, random particle cloud model, small anisotropic particles, two-parameter model, vegetation layer, vegetation mapping, wide band method. [Abstract] [bibtex-entry]


  35. Jong-Sen Lee, M.R. Grunes, T.L. Ainsworth, Li-Jen Du, D.L. Schuler, and Shane R. Cloude. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2249-2258, September 1999. Keyword(s): geophysical signal processing, geophysical techniques, image classification, radar imaging, radar polarimetry, remote sensing by radar, synthetic aperture radar, terrain mappingSAR, complex Wishart classifier, complex Wishart distribution, covariance matrix, entropy-alpha plane, geophysical measurement technique, initial classification map, iteration, land surface, man-made object, maximum likelihood classifier, polarimetric decomposition, polarimetric target decomposition, polarization, radar remote sensing, terrain mapping, terrain type, training, unsupervised classification. [Abstract] [bibtex-entry]


  36. S.R. Cloude and Konstantinos P. Papathanassiou. Polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 36(5):1551-1565, September 1998. Keyword(s): SAR Processing, PolInSAR, geophysical techniques, radar imaging, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radarInSAR, coherence optimization problem, elevated forest canopy, general formulation, geophysical measurement technique, interferogram, interferometric SAR, interferometric coherence, land surface, linear combinations, maximization, polarimetric SAR interferometry, polarimetric basis transformation, radar remote sensing, scalar interferometry, stochastic scattering model, strong polarization dependency, synthetic aperture radar, terrain mapping, vector wave interferometry, SAR Tomography. [Abstract] [bibtex-entry]


  37. Anthony Freeman and Stephen L. Durden. A three-component scattering model for polarimetric SAR data. IEEE Trans. Geosci. Remote Sens., 36(3):963-973, May 1998. Keyword(s): SAR Processing, Polarimetric Decomposition, Freeman-Durden Decomposition, Bragg scatter, backscatter, canopy scatter, composite scattering model, double-bounce scatter, flooding, forest, geophysical measurement technique, inundation, land surface, orthogonal surface, polarimetric SAR, radar polarimetry, radar remote sensing, radar scattering, randomly oriented dipoles, rough surface, synthetic aperture radar, terrain mapping, three-component scattering model, tropical rain forest, vegetation mapping, backscatter, forestry, geophysical techniques, radar cross-sections, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]


  38. Shane R. Cloude and Eric Pottier. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans. Geosci. Remote Sens., 35(1):68-78, January 1997. Keyword(s): SAR Processing, Polarimetric Decomposition, Cloude-Pottier Decomposition, 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, average target scattering matrix parameters, coherency matrix, eigenvalue analysis, entropy based classification, geophysical measurement technique, land surface, land use, parameterization, polarimetric SAR, polarimetric scattering problem, quantitative analysis, radar remote sensing, scattering entropy, terrain mapping, three-level Bernoulli statistical model, unsupervised classifier. [Abstract] [bibtex-entry]


  39. Shane R. Cloude and Eric Pottier. A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34(2):498-518, March 1996. Keyword(s): S-matrix theory, backscatter, covariance matrices, eigenvalues and eigenfunctions, geophysical signal processing, matrix decomposition, radar cross-sections, radar imaging, radar polarimetry, remote sensing by radar, reviews, Mueller matrix, Stokes vector, coherency matrix, coherent decomposition, covariance matrix, eigenvector analysis, scattering matrix, target decomposition theorems, terrain, transformation theory. [Abstract] [bibtex-entry]


  40. E. Krogager. New decomposition of the radar target scattering matrix. Electronics Letters, 26(18):1525-1527, August 1990. Keyword(s): decomposition, radar target scattering matrix, S-matrix theory, radar theory;. [Abstract] [bibtex-entry]


  41. B.D. Carlson. Covariance matrix estimation errors and diagonal loading in adaptive arrays. IEEE Transactions on Aerospace and Electronic Systems, 24(4):397-401, July 1988. Keyword(s): SAR Processing, Beamforming, array processing, antenna phased arrays, antenna theory, digital simulation, eigenvalues and eigenfunctions, estimation theory, matrix algebraadapted antenna patterns, adaptive arrays, covariance matrix sample size, diagonal loading, distorted mainbeams, eigenvector decomposition, estimation errors, low-level interference, nulling, sample matrix inversion, sidelobes. [Abstract] [bibtex-entry]


Conference articles

  1. Othmar Frey, Irena Hajnsek, and Urs Wegmuller. Spaceborne SAR Tomography in Urban Areas. In Proc. IEEE Int. Geosci. Remote Sens. Symp., Melbourne, AUS, pages 69-72, July 2013. Keyword(s): SAR Processing, SAR Tomography, Tomography, SVD, truncated SVD, tikhonov regularization, PSI, Persistent Scatterer Interferometry, Spaceborne SAR, InSAR, DInSAR, geophysical image processing, geophysical techniques, radar interferometry, synthetic aperture radar, Bucarest, PanGEO, ENVISAT, ASAR, ENVISAT ASAR, interferometric technique, Differential SAR Interferometry, single polarization SAR, terrain deformation phenomena, Coherence, Correlation, Interferometry, Synthetic aperture radar, Vectors, Coherence, Terrain deformation, multi-baseline. [Abstract] [bibtex-entry]


  2. O. Ponce, P. Prats, R. Scheiber, A. Reigber, and A. Moreira. Polarimetric 3-D reconstruction from multicircular SAR at P-band. In Proc. IEEE Int. Geoscience and Remote Sensing Symp, pages 3130-3133, July 2012. Keyword(s): array signal processing, calibration, image reconstruction, image resolution, radar imaging, radar polarimetry, singular value decomposition, synthetic aperture radar, 3D imaging, CSAR mode, DLR F-SAR system, SVD, backscattering profile, beamforming, compressive sensing, cone-shaped sidelobes, fast factorized back projection, holographic SAR tomogram, multicircular fully polarimetric SAR experiment, phase calibration method, polarimetric 3D reconstruction, polarimetric three-dimensional reconstruction, subwavelength resolution, Array signal processing, Calibration, Focusing, Image reconstruction, Image resolution, Synthetic aperture radar, Tomography, Circular SAR, PolSAR, holographic tomography, multicircular SAR. [bibtex-entry]


  3. Stefano Tebaldini and Fabio Rocca. On the impact of propagation disturbances on SAR Tomography: Analysis and compensation. In IEEE Radar Conference, pages 1-6, May 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry. [Abstract] [bibtex-entry]


  4. Cao Fang, Hong Wen, and Wu Yirong. An improved Cloude-Pottier decomposition using H/alpha/SPAN and complex Wishart classifier for polarimetric SAR classification. In International Conference on Radar, 2006. CIE '06., pages 1-4, October 2006. Keyword(s): image classification, radar imaging, radar polarimetry, synthetic aperture radarCloude-Pottier decomposition, H/alpha/SPAN, IHSL transform, Wishart classifier, polarimetric SAR classification, synthetic aperture radar. [Abstract] [bibtex-entry]


  5. F. Serafino, F. Soldovieri, F. Lombardini, and G. Fornaro. Singular value decomposition applied to 4D SAR imaging. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 4, pages 2701-2704, July 2005. [bibtex-entry]


  6. P. Berardino, G. Fornaro, R. Lanari, E. Sansosti, F. Serafino, and F. Soldovieri. Multi-pass synthetic aperture radar for 3-D focusing. In Proc. IEEE Int. Geosci.Remote Sens. Symp., volume 1, pages 176-178, 2002. Keyword(s): SAR Processing, SAR Tomography, Tomography, geophysical techniques, radar imaging, radar theory, remote sensing by radar, synthetic aperture radar, terrain mapping, 3D focusing, SAR, SVD, geophysical measurement technique, land surface, multipass method, penetration depth, radar remote sensing, radar tomography, singular value decomposition. [Abstract] [bibtex-entry]


  7. Seung-Mok Oh and James H. McClellan. Multiresolution Imaging with Quadtree Backprojection. In The Record of the Thirty-Fifth Asilomar Conference on Signals, Systems and Computers, 2001, volume 1, pages 105-109, November 2001. Keyword(s): SAR Processing, Back-Projection, Time-Domain Back-Projection, TDBP, Quadtree Processing, Divide and Conquer Methods. [Abstract] [bibtex-entry]


  8. Richard Rau and James H. McClellan. A Directional Image Decomposition for Ultra-Wideband SAR. In ICASSP '98, International Conference on Acoustics, Speech, and Signal Processing, volume 5, pages 2877-2880, May 1998. Keyword(s): SAR Processing, Back-Projection, Ultra-Wideband SAR, Directional Filterbanks, TDBP, Time-Domain Back-Projection. [Abstract] [bibtex-entry]


  9. John W. McCorkle and Martin Rofheart. Order N^2 log(N) Backprojector Algorithm for Focusing Wide-Angle Wide-Bandwidth Arbitrary-Motion Synthetic Aperture Radar. In Gerald S. Ustach, editor, Radar Sensor Technology, volume SPIE 2747, pages 25-36, 1996. Keyword(s): SAR Processing, Back-Projection, Fast Back-Projection, Quadtree Processing, Time-Domain Back-Projection, Wideband SAR, Focusing, Motion Compensation. [Abstract] [bibtex-entry]


Internal reports

  1. ESA. Report for Mission Selection : CoReH2O (ESA SP-1324/2). Technical report, European Space Agency (ESA), 2012. Keyword(s): CoReH20, Earth Explorer 7 Candiate, X-band, Ku-band, Spaceborne SAR, Mission Concept, Snow, Snow Water Equivalent, SWE, snow mass, glaciology, ice, remote sensing by radar, sea ice, snow, synthetic aperture radar, water, climate models, cold land processes, cold regions hydrology high-resolution observatory satellite mission, cryosphere, frequency 17.2 GHz, frequency 9.6 GHz, glaciers, global snow observations, global water cycle, lake ice, land snow, scattering signal decomposition, sea ice, synthetic aperture radar, water cycle variability prediction, Hydrology, Ice surface, Lakes, Land surface, Observatories, Satellites, Sea ice, Sea surface, Snow, Water resources, Climate research, earth observation satellite, glaciers, snow cover, synthetic aperture radar, water resources. [bibtex-entry]


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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: Fri Feb 24 14:23:03 2023
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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