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Publications about 'Compressive sensing'

Articles in journal or book chapters

  1. Victor Cazcarra-Bes, Matteo Pardini, Marivi Tello-Alonso, and K. P. Papathanassiou. Comparison of Tomographic SAR Reflectivity Reconstruction Algorithms for Forest Applications at L-band. IEEE Trans. Geosci. Remote Sens., 58(1):147-164, January 2020. Keyword(s): SAR Processing, SAR Tomography, Forestry, Synthetic aperture radar, Image reconstruction, Decorrelation, Estimation, Reconstruction algorithms, Capon beamforming (CB), compressive sensing (CS), forest applications, forest structure, Fourier beamforming (FB), L-band, synthetic aperture radar (SAR), tomography, airborne SAR. [Abstract] [bibtex-entry]


  2. Marion Heublein, Fadwa Alshawaf, Bastian Erdnüss, Xiao Xiang Zhu, and Stefan Hinz. Compressive sensing reconstruction of 3D wet refractivity based on GNSS and InSAR observations. Journal of Geodesy, June 2018. Keyword(s): SAR Processing, Compressive Sensing, Tropospheric Path Delay, SAR Processing, Synthetic Aperture Radar, Atmospheric Modelling, Atmospheric modeling, Meteorology, radar interferometry, synthetic aperture radar (SAR), SAR Tomography, GNSS, InSAR, Tropospheric Wet Path Delay. [Abstract] [bibtex-entry]


  3. Victor Cazcarra-Bes, Marivi Tello-Alonso, Rico Fischer, Michael Heym, and Konstantinos Papathanassiou. Monitoring of Forest Structure Dynamics by Means of L-Band SAR Tomography. Remote Sensing, 9(12), 2017. Keyword(s): SAR Processing, SAR Tomography, Forestry, Synthetic aperture radar, Image reconstruction, Decorrelation, Estimation, forest applications, forest structure, Fourier beamforming (FB), L-band, synthetic aperture radar (SAR), tomography, L-Band, Airborne SAR. [Abstract] [bibtex-entry]


  4. T. M. Marston and J. L. Kennedy. Volumetric Acoustic Imaging via Circular Multipass Aperture Synthesis. IEEE_J_OE, 41(4):852-867, October 2016. Keyword(s): autonomous underwater vehicles, compressed sensing, matrix algebra, sonar, synthetic aperture radar, AUV, CSAS, analogous synthetic aperture radar tomography, autonomous underwater vehicle, compressive-sensing-based approach, data-driven technique, high-resolution volumetric images, joint sparsity assumption, multidimensional array, multipass circular synthetic aperture sonar, sensing matrices, standard joint sparse solving algorithm, volumetric acoustic imaging, Compressed sensing, Synthetic aperture radar, Synthetic aperture sonar, Tomography, Underwater vehicles, Compressive sensing, multipass sonar, synthetic aperture sonar (SAS), tomography, volumetric imaging. [bibtex-entry]


  5. Timothy M. Marston and Jermaine L. Kennedy. Volumetric Acoustic Imaging via Circular Multipass Aperture Synthesis. IEEE Journal of Oceanic Engineering, PP(99):1-16, 2016. Keyword(s): SAR Processing, SAR Tomography, SAS Tomography, Synthetic Aperture Sonar, SAS, Synthetic Aperture Radar, Circular SAR, Circular SAS, Apertures, Arrays, Navigation, Synthetic aperture radar, Synthetic aperture sonar, Tomography, Compressive sensing, multipass sonar, synthetic aperture sonar (SAS), tomography, volumetric imaging. [Abstract] [bibtex-entry]


  6. Octavio Ponce, Pau Prats-Iraola, Rolf Scheiber, Andreas Reigber, and Alberto Moreira. First Airborne Demonstration of Holographic SAR Tomography With Fully Polarimetric Multicircular Acquisitions at L-Band. IEEE_J_GRS, 54(10):6170-6196, October 2016. Keyword(s): geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, 2-D synthetic aperture, Fully Polarimetric Multicircular Acquisitions, German Aerospace Center, Germany, HoloSAR tomogram polarimetric analysis, Kaufbeuren, L-Band, SAR systems, airborne F-SAR sensor, coherent imaging approach, complex reflectivity, compressive sensing, fast-factorized back-projection, forest backscattering analysis, full 3-D reconstructions, generalized likelihood ratio test, geometric acquisition, geoscience community, holographic SAR tomography, holographic techniques, impulse response function, incoherent imaging, individual circular trajectories, internal structure imaging, multicircular SAR acquisitions, polarimetric L-band HoloSAR survey, radar resolution capability function, scatterer polarimetric signature, semitransparent media, sidelobe power, spatial resolution, synthetic aperture radar, target 3-D IRF, tomographic techniques, volumetric backscattering, Apertures, Radar imaging, Spatial resolution, Synthetic aperture radar, Tomography, Circular synthetic aperture radar (CSAR), compressive sensing (CS), fast-factorized back-projection (FFBP), holographic sar tomography (HoloSAR), phase gradient autofocus (PGA), polarimetric synthetic aperture radar (PolSAR). [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, radar resolution, singular value decomposition, 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. Xiao Xiang Zhu and Richard Bamler. Superresolving SAR Tomography for Multidimensional Imaging of Urban Areas: Compressive sensing-based TomoSAR inversion. IEEE Signal Processing Magazine, 31(4):51-58, July 2014. Keyword(s): SAR Processing, SAR Tomography, PSI, Persistent Scatterer Interferometry, Deformation Monitoring, Deformation, compressed sensing, image motion analysis, image reconstruction, radar imaging, radar resolution, synthetic aperture radar, tomography, 4D point clouds, LiDAR, VHR spaceborne tomographic SAR inversion, building deformation, compressive sensing-based TomoSAR inversion, dynamic city model reconstruction, motion reconstruction, multicomponent nonlinear motion, multidimensional imaging, multiple scatterers, point density, shape reconstruction, synthetic aperture radar, urban areas, urban infrastructure, very high spatial resolution SAR tomography, Mathematical model, Signal processing algorithms, Signal resolution, Signal to noise ratio, Synthetic aperture radar, Tomography, Urban areas. [Abstract] [bibtex-entry]


  9. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas. IEEE Geosci. Remote Sens. Lett., 10(3):543-547, May 2013. Keyword(s): SAR Processing, SAR Tomography, Compressed sensing, Compressive sensing, Covariance matrix, Synthetic aperture radar, Tomography, data compression, forestry, radar polarimetry, tomography, vegetation mapping, wavelet transforms, DLR, E-SAR sensor, German Aerospace Center, covariance fitting, data adaptive compressed sensing approach, data adaptive orthonormal basis, forested areas, fully polarimetric L-band data, multiple looks, multiple polarimetric channels, partial scatterers, polarimetric SAR tomography, superresolution imaging, Distributed compressed sensing (DCS), Kronecker basis, polarimetry, wavelets, E-SAR, F-SAR, L-Band, Airborne SAR. [Abstract] [bibtex-entry]


  10. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. Wavelet-Based Compressed Sensing for SAR Tomography of Forested Areas. IEEE Trans. Geosci. Remote Sens., 51(12):5283-5295, December 2013. Keyword(s): SAR Processing, SAR Tomography, Covariance matrix, Estimation, Power distribution, Sensors, Synthetic aperture radar, Tomography, Wavelet transforms, Compressed sensing (CS), compressive sensing, CS, forest structure, synthetic aperture radar (SAR) tomography, wavelets, E-SAR, F-SAR, L-Band, Airborne SAR. [Abstract] [bibtex-entry]


  11. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. Multisignal Compressed Sensing for Polarimetric SAR Tomography. IEEE Geosci. Remote Sens. Lett., 5(9):871-875, September 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressed sensing, Remote sensing, Sensors, Tomography, Vectors, compressed sensing, compressive sensing, CS, geometry, image reconstruction, image sensors, radar imaging, radar polarimetry, synthetic aperture radar, tomography, 3D imaging, DCS, E-SAR sensor, German Aerospace Center, azimuth-range pixel, data collection processing, distributed compressed sensing, multisignal compressed sensing, parallel track, polarimetric L-band data, polarimetric SAR sensor, polarimetric SAR tomography, polarimetric channel, polarimetric synthetic aperture radar sensor, repeat-pass acquisition geometry, signal reconstruction, temporal baseline, tomographic signal, vertical reflectivity function, Compressed sensing (CS), distributed compressed sensing (DCS), polarimetry, synthetic aperture radar (SAR) tomography, L-band, E-SAR, F-SAR. [Abstract] [bibtex-entry]


  12. S. Xilong, Y. Anxi, D. Zhen, and L. Diannong. Three-Dimensional SAR Focusing via Compressive Sensing: The Case Study of Angel Stadium. IEEE Geosci. Remote Sens. Lett., PP(99):1-5, 2012. [Abstract] [bibtex-entry]


  13. Xiao Xiang Zhu and Richard Bamler. Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment. IEEE Trans. Geosci. Remote Sens., 50(8):3150-3157, August 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry, InSAR, differential SAR interferometry, Persistent Scatterer Interferometry, PSI, DInSAR, Buildings, Image resolution, Optical imaging, Optical scattering, Signal resolution, Strontium, Tomography, geophysical equipment, geophysical image processing, radar imaging, SL1MMER algorithm, SR power, TerraSAR-X real data, classical linear estimators, differential SAR tomography, elevation aperture size, geometric analysis, meter-resolution spaceborne SAR systems, spectral analysis problem, statistical analysis, super-resolution demonstration, super-resolution reconstruction algorithms, super-resolving algorithm, synthetic aperture radar, tomographic SAR imaging, tomographic SAR inversion, tomographic elevation resolution, urban environment, urban infrastructure monitoring, Compressive sensing, SL1MMER, TerraSAR-X, sparse reconstruction, super-resolution, synthetic aperture radar, tomographic SAR inversion. [Abstract] [bibtex-entry]


  14. Xiao Xiang Zhu and Richard Bamler. Super-Resolution Power and Robustness of Compressive Sensing for Spectral Estimation With Application to Spaceborne Tomographic SAR. IEEE Trans. Geosci. Remote Sens., 50(1):247-258, January 2012. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry, Persistent Scatterer Interferometry, PSI, TerraSAR-X, X-band, Estimation, Image resolution, Minimization, Noise, Robustness, Strontium, Tomography, Fourier analysis, data acquisition, geophysical techniques, least squares approximations, maximum likelihood estimation, minimisation, probability, remote sensing by radar, spaceborne radar, synthetic aperture radar, tomography, Fourier domain sample, Rayleigh resolution analysis, SL1MMER algorithm, TomoSAR algorithm, compressive sensing robustness analysis, generic super-resolution problem, maximum likelihood parameter estimation, nonlinear least-squares estimation, numerical simulation, probability, spaceborne SAR tomography, sparse spectral estimation, spectral estimation method, super-resolution power, uniformly distributed phase difference analysis, Compressive sensing (CS), SAR tomography (TomoSAR), SL1MMER, spectral estimation, super-resolution (SR). [Abstract] [bibtex-entry]


  15. E.J. Candes and Y. Plan. A Probabilistic and RIPless Theory of Compressed Sensing. IEEE Transactions on Information Theory, 57(11):7235-7254, November 2011. Keyword(s): Fourier coefficients, Gaussian model, RIPless theory, compressed sensing, frequency measurements, probabilistic theory, probability distribution, restricted isometry property, signal random model, sparse signals, Fourier analysis, data compression, random processes, signal reconstruction, statistical distributions;. [Abstract] [bibtex-entry]


  16. R.G. Baraniuk, E. Candes, M. Elad, and Yi Ma. Applications of Sparse Representation and Compressive Sensing [Scanning the Issue]. Proceedings of the IEEE, 98(6):906-909, june 2010. Keyword(s): NP-hard, compressive sensing, convex optimization, greedy methods, high-dimensional data, linear combination, overcomplete dictionary, sparse representation, computational complexity, signal processing, sparse matrices;. [Abstract] [bibtex-entry]


  17. Joachim H.G. Ender. On compressive sensing applied to radar. Signal Processing, 90(5):1402 - 1414, 2010. Note: Special Section on Statistical Signal and Array Processing. Keyword(s): Compressive Sensing, Compressed Sensing, Radar, Sparse arrays, Pulse compression, Radar imaging, ISAR, Airspace surveillance, DOA estimation. [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. Emmanuel J. Candes. The restricted isometry property and its implications for compressed sensing. Comptes Rendus Mathematique, 346(9-10):589-592, 2008. Keyword(s): Compressive Sensing, Compressed Sensing. [bibtex-entry]


  20. Emmanuel J. Candes, Justin K. Romberg, and Terence Tao. Stable signal recovery from incomplete and inaccurate measurements. Communications on Pure and Applied Mathematics, 59(8):1207-1223, 2006. Keyword(s): Compressive Sensing, Compressed Sensing. [Abstract] [bibtex-entry]


Conference articles

  1. O. Ponce, P. Prats, R. Scheiber, A. Reigber, I. Hajnsek, and A. Moreira. Polarimetric 3-D imaging with airborne holographic SAR tomography over glaciers. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 5280-5283, July 2015. Keyword(s): airborne radar, glaciology, hydrological techniques, radar polarimetry, synthetic aperture radar, DLR F-SAR sensor, Findel glacier, HoloSAR campaign, L-band, Monte Rosa, Switzerland, airborne holographic SAR tomography mode, arc-pattern, bedrock vertical profile, biosphere, circular pattern, circular synthetic aperture, cryosphere, glacier backscattering, ice sheet vertical profile, polarimetric 3-D imaging reconstruction, polarimetric analysis, single circular flight, snow vertical profile, vertical synthetic aperture, Apertures, Ice, Image resolution, Radar imaging, Synthetic aperture radar, Tomography, Compressive Sensing (CS), Cryosphere, Fast Factorized Back-Projection (FFBP), Holographic SAR Tomography (HoloSAR), Polarimetric Synthetic Aperture Radar (PolSAR). [bibtex-entry]


  2. O. Ponce, P. Prats, R. Scheiber, A. Reigber, and A. Moreira. Analysis and optimization of multi-circular SAR for fully polarimetric holographic tomography over forested areas. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. - IGARSS, pages 2365-2368, July 2013. Keyword(s): geophysical image processing, holography, radar imaging, radar polarimetry, synthetic aperture radar, vegetation, 3D resolution, DLR F-SAR sensor, GLRT algorithm, Germany, IRF, Kauf-beuren, L-band, acquisition geometry, anisotropic analysis, forested areas, fully polarimetric holographic tomography, generalized likelihood ratio test, holographic SAR tomograms, impulse response function, incoherent imaging, multicircular SAR analysis, multicircular SAR optimization, polarimetric MCSAR campaign, scatterers, sidelobe suppression, system bandwidth, Apertures, Bandwidth, Geometry, Image resolution, Imaging, L-band, Synthetic aperture radar, Anisotropy, compressive sensing (CS), fast factorized back-projection (FFBP), holographic tomography, multi-circular synthetic aperture radar (MCSAR), polarimetric synthetic aperture radar (PolSAR). [bibtex-entry]


  3. O. Ponce, P. Prats, R. Scheiber, A. Reigber, and A. Moreira. First demonstration of 3-D holographic tomography with fully polarimetric multi-circular SAR at L-band. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. - IGARSS, pages 1127-1130, July 2013. Keyword(s): airborne radar, array signal processing, compressed sensing, geophysical image processing, holography, optical focusing, optical tomography, radar imaging, radar polarimetry, radar resolution, synthetic aperture radar, transient response, 3D holographic tomography, 3D polarimetric holographic tomogram, 3D sidelobe reduction, BF, CS, DLR F-SAR airborne system, Earth analysis, IRF, Kaufbeuren Germany, L-band, MCSAR, beamforming, coherent 3D radar backscattering, compressive sensing, dry soil, forested area, fully polarimetric multicircular SAR, ice, impulse response function, multiangular measurement acquisition, synthetic aperture radar, temporal decorrelation, volume scatterer, Apertures, Bandwidth, Image resolution, Imaging, L-band, Synthetic aperture radar, Vegetation, Circular synthetic aperture radar (CSAR), compressive sensing (CS), fast factorized back-projection (FFBP), holographic tomography, polarimetric synthetic aperture radar (PolSAR). [bibtex-entry]


  4. 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, singular value decomposition, subwavelength resolution, Array signal processing, Calibration, Focusing, Image reconstruction, Image resolution, Synthetic aperture radar, Tomography, Circular SAR, PolSAR, compressive sensing, holographic tomography, multicircular SAR. [bibtex-entry]


  5. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. Multi-signal compressed sensing for polarimetric SAR tomography. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 1369-1372, July 2011. Keyword(s): Airborne SAR, SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, Distributed Compressive Sensing, DCS methodology, E-SAR sensor, SAR image, azimuth-range pixel, distributed compressed sensing, elevation direction, fully polarimetric L-band data, multiplicative speckle noise, multisignal compressed sensing, pass acquisition geometry, polarimetric SAR tomography, polarimetric channel, space-borne radar platform, synthetic aperture radar, three dimensional imaging, tomographic focusing approach, tomographic signal, vertical reflectivity function, image reconstruction, image resolution, image sensors, radar imaging, radar polarimetry, radar resolution, spaceborne radar, speckle, synthetic aperture radar, tomography;. [Abstract] [bibtex-entry]


  6. Xiao Xiang Zhu and R. Bamler. A fundamental bound for super-resolution --- with application to3D SAR imaging. In Proc. Joint Urban Remote Sensing Event (JURSE), pages 181-184, 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  7. Xiao Xiang Zhu and R. Bamler. Multi-component nonlinear motion estimation in differential SAR tomography - the time-warp method. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 2409-2412, 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  8. Xiao Xiang Zhu and R. Bamler. Sparse reconstrcution techniques for SAR tomography. In Proc. 17th Int Digital Signal Processing (DSP) Conf, pages 1-8, 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  9. Xiao Xiang Zhu and R. Bamler. Within the resolution cell: Super-resolution in tomographic SAR imaging. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 2401-2404, 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  10. Xiao Xiang Zhu, Xuan Wang, and Richard Bamler. Compressive sensing for image fusion - with application to pan-sharpening. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 2793-2796, 2011. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  11. Xiao Xiang Zhu and Richard Bamler. Compressive sensing for high resolution differential SAR tomography - the SL1MMER algorithm. In Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS), pages 17-20, 2010. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  12. Xiao Xiang Zhu, N. Adam, and R. Bamler. Space-borne high resolution tomographic interferometry. In Proc. Geoscience and Remote Sensing Symp.,2009 IEEE Int.,IGARSS 2009, volume 4, 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


  13. Xiao Xiang Zhu, Nico Adam, R. Brcic, and Richard Bamler. Space-borne high resolution SAR tomography: experiments in urban environment using TS-X Data. In Proc. Joint Urban Remote Sensing Event, pages 1-8, 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry, TerraSAR-X, X-band. [bibtex-entry]


  14. Xiao Xiang Zhu, Nico Adam, Ramon Brcic, and Richard Bamler. Space-borne high resolution SAR tomography: experiments in urban environment using TS-X Data. In Urban Remote Sensing Event, 2009 Joint, pages 1-8, May 2009. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


Miscellaneous

  1. Xiao Xiang Zhu and Richard Bamler. Super-resolution for 4-D SAR Tomography via Compressive Sensing, 2010. Note: Synthetic Aperture Radar (EUSAR), 2010 8th European Conference on. Keyword(s): SAR Processing, SAR Tomography, Tomography, Compressive Sensing, CS, InSAR, SAR Interferometry, Interferometry. [bibtex-entry]


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This collection of SAR literature is far from being complete.
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Last modified: Mon Feb 1 16:39:27 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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