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Publications about 'Optimization'

Articles in journal or book chapters

  1. 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]


  2. Achille Peternier, John Peter Merryman Boncori, and Paolo Pasquali. Near-real-time focusing of ENVISAT ASAR Stripmap and Sentinel-1 TOPS imagery exploiting OpenCL GPGPU technology. Remote Sensing of Environment, 2017. Keyword(s): SAR Processing, Synthetic Aperture Radar, Azimuth Focusing, Image Focusing, GPGPU, GPU, Graphics Processing Units, General-purpose Computing, Parallelization, OpenCL, CUDA. [Abstract] [bibtex-entry]


  3. Zahra Sadeghi, M. J. Valadan Zoej, and J. P. Muller. Monitoring Land Subsidence in a Rural Area Using a Combination of ADInSAR and Polarimetric Coherence Optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(8):3582-3590, August 2017. Keyword(s): environmental monitoring (geophysics), geomorphology, optimisation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, MCPO, North Iran, Tehran basin, TerraSAR-X images, agricultural fields, coherence-set based polarimetry optimization, coherent pixel density, differential synthetic aperture radar interferometry, land subsidence monitoring, modified coherence set-based polarimetry optimization, pixel phase quality, polarimetric ADInSAR, polarimetric DInSAR, polarimetric coherence optimization, rural area, satellites, search polarimetry optimization, single-baseline coherence optimization method, single-baseline coherence optimization technique, Coherence, Interferometry, Optimization methods, Polarimetry, Synthetic aperture radar, Advanced differential synthetic aperture radar interferometry (ADInSAR), coherence optimization, polarimetric differential synthetic aperture radar interferometry (DInSAR), polarimetry. [Abstract] [bibtex-entry]


  4. H. Yu, Y. Lan, J. Xu, D. An, and Hyonki Lee. Large-Scale ${L}^{0}$ -Norm and ${L}^{1}$ -Norm 2-D Phase Unwrapping. IEEE Transactions on Geoscience and Remote Sensing, 55(8):4712-4728, August 2017. Keyword(s): SAR Processing, Phase Unwrapping, radar interferometry, remote sensing by radar, signal processing, synthetic aperture radar, InSAR technology, L0-norm 2D phase unwrapping, L1-norm 2D phase unwrapping, L1-norm envelope-sparsity theorem, big-data, computer hardware, global L1-norm PU solution, local L1-norm PU solution, subinterferograms, synthetic aperture radar interferometry, tiling accuracy, tiling resolution, tiling strategy, Hardware, Laser radar, Laser theory, Memory management, Optimization, Spatial resolution, Synthetic aperture radar interferometry, 2-D phase unwrapping (PU), L1-norm, L0-norm, large scale, synthetic aperture radar interferometry (InSAR), tiling strategy. [Abstract] [bibtex-entry]


  5. J. Pan, M. Durand, M. Sandells, J. Lemmetyinen, E. J. Kim, J. Pulliainen, A. Kontu, and C. Derksen. Differences Between the HUT Snow Emission Model and MEMLS and Their Effects on Brightness Temperature Simulation. IEEE Transactions on Geoscience and Remote Sensing, 54(4):2001-2019, April 2016. Keyword(s): radiative transfer, remote sensing, snow, HUT snow emission model, Helsinki University of Technology, brightness temperature simulation, snow water equivalent retrieval algorithm, passive microwave measurement, multiple-layer HUT model, Microwave Emission Model of Layered Snowpacks, scattered intensity, radiative transfer equation, one-flux equation, two-flux theory, HUT scattering coefficient, trapped-radiation, natural snow cover, Sodankyla, Finland, Churchill, Canada, Colorado, USA, snow grain size was, deep snow, Born approximation, root-mean-square error, Snow, Mathematical model, Scattering, Grain size, Microwave theory and techniques, Ice, Correlation, Model comparison, passive microwave remote sensing, snow, Model comparison, passive microwave remote sensing, snow. [Abstract] [bibtex-entry]


  6. Jamal Saeedi and Karim Faez. A back-projection autofocus algorithm based on flight trajectory optimization for synthetic aperture radar imaging. Multidimensional Systems and Signal Processing, 27(2):411, April 2016. [Abstract] [bibtex-entry]


  7. Pooja S. Mahapatra, Sami Samie Esfahany, and Ramon F. Hanssen. Geodetic Network Design for InSAR. IEEE Trans. Geosci. Remote Sens., 53(7):3669-3680, July 2015. Keyword(s): SAR Processing, InSAR, GNSS, persistent scatterer interferometry, covariance matrices, deformation, geodesy, geomorphology, geophysical techniques, network theory (graphs), radar interferometry, remote sensing by radar, synthetic aperture radar, InSAR measurement, coherent target device deployment, covariance matrices, criterion matrix, deformation signal, densification measurement, geodesic network design methodology, ground deformation measurement, interferometric synthetic aperture radar, network optimization, optimal ground location, Covariance matrices, Deformable models, Geophysical measurements, Redundancy, Synthetic aperture radar, Coherent target, compact active transponder, corner reflector, criterion matrix, economy, geodesy, interferometric synthetic aperture radar (InSAR), network design, precision, reliability. [Abstract] [bibtex-entry]


  8. Alberto Villa, Lorenzo Iannini, Davide Giudici, Andrea Monti-Guarnieri, and Stefano Tebaldini. Calibration of SAR Polarimetric Images by Means of a Covariance Matching Approach. IEEE Trans. Geosci. Remote Sens., 53(2):674-686, February 2015. Keyword(s): Faraday effect, calibration, covariance analysis, numerical analysis, optimisation, parameter estimation, radar imaging, radar polarimetry, synthetic aperture radar, Faraday rotation, SAR polarimetric imaging, corner reflector, covariance matching approach, intrinsic ambiguity identification, numerical method, optimization, polarimetric calibration, repeated full polarimetric ALOS PALSAR imaging, retrieved distortion parameter stability, synthetic aperture radar, system polarimetric distortion parameter estimation, Calibration, Eigenvalues and eigenfunctions, Estimation, Faraday effect, Noise, Sensitivity, Thyristors, Covariance matching, Faraday rotation, numerical methods, polarimetric calibration. [Abstract] [bibtex-entry]


  9. Y. Gao, W. Yu, Y. Liu, R. Wang, and C. Shi. Sharpness-Based Autofocusing for Stripmap SAR Using an Adaptive-Order Polynomial Model. IEEE Geoscience and Remote Sensing Letters, 11(6):1086-1090, June 2014. Keyword(s): conjugate gradient methods, maximum likelihood estimation, optical focusing, polynomials, radar imaging, search problems, synthetic aperture radar, closed-form expression, airborne SAR data experiment, modified adaptive-order searching strategy, conjugate gradient algorithm, polynomial expansion coefficient, sharpness function gradient, maximum-posterior estimation, SAR, stripmap-mode synthetic aperture radar image data, adaptive-order polynomial model, image sharpness-based autofocusing technique, Synthetic aperture radar, Polynomials, Accuracy, Estimation, Azimuth, Adaptation models, Optimization, Autofocus, conjugate gradient method (CGM), sharpness, synthetic aperture radar (SAR), Autofocus, conjugate gradient method (CGM), sharpness, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  10. R. Iglesias, D. Monells, X. Fabregas, J. J. Mallorqui, A. Aguasca, and C. Lopez-Martinez. Phase Quality Optimization in Polarimetric Differential SAR Interferometry. IEEE Transactions on Geoscience and Remote Sensing, 52(5):2875-2888, May 2014. Keyword(s): geophysical techniques, optimisation, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, ALOS, DInSAR processing, DInSAR techniques, RADARSAT-2, TerraSAR-X, advanced land observing satellite, amplitude dispersion case, amplitude dispersion maps, classical single-polarimetric approach, coherence case, differential SAR interferometry, differential synthetic aperture radar interferometry, final DInSAR result density, final DInSAR result reliability, fully polarimetric data unavailability, ground-based SAR fully polarimetric data, interferometric technique merging, orbital SAR fully polarimetric data, phase quality optimization, pixel candidate number threefold, pixel phase quality, pixel selection process, polarimetric capabilities, polarimetric differential SAR interferometry, polarimetric optimization techniques, polarimetric technique merging, polarimetrically optimized coherence, satellite launch, single-polarimetric case, Amplitude dispersion optimization, coherence optimization, differential synthetic aperture radar (SAR) interferometry (DInSAR), polarimetric DInSAR (PolDInSAR), polarimetry. [Abstract] [bibtex-entry]


  11. A. E. Albright Blomberg, A. Austeng, Roy E. Hansen, and S. A. V. Synnes. Improving Sonar Performance in Shallow Water Using Adaptive Beamforming. IEEE Journal of Oceanic Engineering, 38(2):297-307, April 2013. Keyword(s): Synthetic Aperture Sonar, SAS, adaptive signal processing, array signal processing, interference suppression, optimisation, sonar imaging, Hanning window, LCA beamformer, MVDR beamformer, SNR, adaptive beamforming, adaptive minimum variance distortionless response beamformer, bottom-imaging sonars, dense receiver array, four-element receivers, low complexity adaptive beamformer, low sidelobe levels, multipath interference avoidance, multipath propagation, narrow mainlobe width, optimization criteria, second-order multipaths, shallow-water environments, sidelobe suppression, signal-to-noise ratio, sonar performance, spatial smoothing, vertical array, Array signal processing, Arrays, Receivers, Scattering, Sea surface, Signal to noise ratio, Sonar, Adaptive beamforming, multipath reduction, shallow-water imaging, sonar. [Abstract] [bibtex-entry]


  12. J. N. Ash. An Autofocus Method for Backprojection Imagery in Synthetic Aperture Radar. IEEE Geoscience and Remote Sensing Letters, 9(1):104-108, January 2012. Keyword(s): SAR Processing, Autofocus, autoregressive processes, convolution, digital elevation models, geophysical image processing, geophysical techniques, radar imaging, synthetic aperture radar, convolution backprojection, autofocus method, backprojection imagery, autofocus routine, spotlight-mode synthetic aperture radar data, image sharpness, imaging geometry, wide-angle aperture, digital elevation map, image-quality-based autofocus approach, natural geometric interpretation, optimal single-pulse phase correction, quartic polynomial, sequential imaging application, autoregressive backprojection, Synthetic aperture radar, Imaging, Apertures, Measurement, Optimization, History, Azimuth, Autofocus, autoregressive backprojection (ARBP), convolution BP (CBP) imaging, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  13. P. Frolind, A. Gustavsson, M. Lundberg, and L. M. H. Ulander. Circular-Aperture VHF-Band Synthetic Aperture Radar for Detection of Vehicles in Forest Concealment. IEEE Transactions on Geoscience and Remote Sensing, 50(4):1329-1339, April 2012. Keyword(s): focusing, image resolution, radar imaging, synthetic aperture radar, VHF devices, circular-aperture VHF-band synthetic aperture radar, vehicles, dense forest concealment, image resolution, object information, signal processing, imaging geometry, high-quality image focusing, contrast optimization, false-alarm rate, detection probability, frequency 20 MHz to 90 MHz, Focusing, Vehicles, Apertures, Radar tracking, Image resolution, Geometry, Circular aperture, forest concealment, synthetic aperture radar (SAR), target detection, very high frequency (VHF). [Abstract] [bibtex-entry]


  14. Victor D. Navarro-Sanchez and Juan M. Lopez-Sanchez. Improvement of Persistent-Scatterer Interferometry Performance by Means of a Polarimetric Optimization. IEEE Geosci. Remote Sens. Lett., 9(4):609-613, July 2012. Keyword(s): SAR Processing, persistent scatterer interferometry, PSI, urban area, deformation monitoring, polarimetric optimization, Spain, TerraSAR-X, optimization, phase quality, pixel identification, polarimetry, polarization image, airborne radar, artificial satellites, electromagnetic wave scattering, geophysical image processing, optimisation, polarisation, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, spaceborne SAR. [Abstract] [bibtex-entry]


  15. Alireza Tabatabaeenejad, Mariko S. Burgin, and Mahta Moghaddam. Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests. IEEE Transactions on Geoscience and Remote Sensing, 50(6):2150-2160, June 2012. Keyword(s): calibration, data analysis, forestry, remote sensing by radar, simulated annealing, soil, vegetation mapping, AD 2010 06, Jet Propulsion Laboratory, L-band radar, National Aeronautics and Space Administration, SMAP mission, Uninhabited Aerial Vehicle Synthetic Aperture Radar, absolute retrieval error analysis, calibration method, canopy parameter retrieval, central Canada boreal forests, discrete scatterer radar model, forest structure, forward scattering model, global optimization scheme, inversion method, old black spruce site, old jack pine forests, optimization algorithm, optimization problem, relative retrieval error, scattering mechanisms, simulated annealing, soil moisture information, subcanopy parameter retrieval, surface soil moisture retrieval, synthetic data, vegetation parameters, young jack pine forests, Backscatter, Dielectric constant, L-band, Radar, Scattering, Soil moisture, Vegetation mapping, Allometric relationships, Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10), L-band radar, Soil Moisture Active and Passive (SMAP), boreal forest, canopy, inverse problem, microwave scattering. [Abstract] [bibtex-entry]


  16. 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]


  17. G. Fornaro, A. Pauciullo, and D. Reale. A Null-Space Method for the Phase Unwrapping of Multitemporal SAR Interferometric Stacks. IEEE Transactions on Geoscience and Remote Sensing, 49(6):2323-2334, June 2011. Keyword(s): SAR Processing, DInSAR, SAR Interferometry, Phase unwrapping, 2-D azimuth-range domain, Earth surface displacement, MCF algorithm, data analysis, full 3-D unwrapping method, interferogram generation scheme, interferogram spatial structure, multitemporal SAR interferometric stack analysis, multitemporal differential interferometric synthetic aperture radar analysis, null-space method, optimization technique, phase unwrapping method, spatial baseline domain, time series, unrestricted phase signal reconstruction, data analysis, geophysical techniques, radar interferometry, synthetic aperture radar, time series, topography (Earth). [Abstract] [bibtex-entry]


  18. 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]


  19. E.J. Candes and Y. Plan. Matrix Completion With Noise. Proceedings of the IEEE, 98(6):925-936, june 2010. Keyword(s): compressed sensing, convex optimization problem, data constraints, low rank matrices, matrix completion, nuclear norm minimization, data integrity, matrix algebra, minimisation, noise, signal sampling;. [Abstract] [bibtex-entry]


  20. J. Mittermayer, Marwan Younis, R. Metzig, S. Wollstadt, J. Marquez Martinez, and Adriano Meta. TerraSAR-X System Performance Characterization and Verification. IEEE Transactions on Geoscience and Remote Sensing, 48(2):660-676, February 2010. Keyword(s): calibration, geophysical techniques, optimisation, remote sensing by radar, spaceborne radar, synthetic aperture radar, ScanSAR, Spotlight, TerraSAR-X system, acquisition geometry, ambiguities, block adaptive quantization setting, commissioning phase, elevation beam definition, impulse-response function, noise, optimization, performance characterization, radiometric resolution, range timing, receiving gain, synthetic aperture radar, systems verification, Commissioning phase, SAR system performance, TerraSAR-X (TS-X), synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  21. Manoochehr Shirzaei and TR Walter. Time-dependent volcano source monitoring using interferometric synthetic aperture radar time series: A combined genetic algorithm and Kalman filter approach. Journal of Geophysical Research: Solid Earth, 115(B10), 2010. Keyword(s): SAR Processing, Deformation, Deformation Monitoring, DInSAR, SAR Interferometry, Differential Interferometry, Kalman Filter. [Abstract] [bibtex-entry]


  22. R. L. Morrison, M. N. Do, and D. C. Munson. MCA: A Multichannel Approach to SAR Autofocus. IEEE Transactions on Image Processing, 18(4):840-853, April 2009. Keyword(s): SAR Processing, Autofocus, SAR autofocus, defocusing operation, focused image, image restoration, linear algebraic formulation, multichannel autofocus, multichannel redundancy, sharpness metric optimization, synthetic aperture radar, vector-space formulation, image restoration, linear algebra, synthetic aperture radar;. [Abstract] [bibtex-entry]


  23. F. Berizzi, M. Martorella, A. Cacciamano, and A. Capria. A Contrast-Based Algorithm For Synthetic Range-Profile Motion Compensation. IEEE Transactions on Geoscience and Remote Sensing, 46(10):3053-3062, October 2008. Keyword(s): motion compensation, radar signal processing, synthetic aperture radarSAR image reconstruction, SNR loss, acceleration distortion effects, asymmetric smearing, contrast based algorithm, contrast optimization, estimation error analysis, low PRF radars, motion compensation technique, radar pulse repetition frequency, range shift, range-profile distortions, stepped frequency radar, stepped frequency waveform, symmetric spreading, synthetic aperture radar, synthetic range profile cost function, synthetic range-profile motion compensation, target motion, target radial acceleration, target radial velocity. [Abstract] [bibtex-entry]


  24. Maxim Neumann, Laurent Ferro-Famil, and Andreas Reigber. Multibaseline Polarimetric SAR Interferometry Coherence Optimization. IEEE Geosci. Remote Sens. Lett., 5(1):93-97, January 2008. Keyword(s): coherence, optimisation, radar interferometry, radar polarimetry, synthetic aperture radar, coherence optimization, multibaseline polarimetric SAR interferometry, scattering mechanism, synthetic aperture radar sensor, Interferometry, L-band, Optimization methods, Phase estimation, Polarimetric synthetic aperture radar, Polarization, Radar scattering, Samarium, Signal resolution, Uncertainty, Coherence optimization, multibaseline (MB), polarimetric synthetic aperture radar interferometry (PolInSAR). [Abstract] [bibtex-entry]


  25. C. Castillo-Rubio, S. Llorente-Romano, and M. Burgos-Garcia. Robust SVA method for every sampling rate condition. IEEE Transactions on Aerospace and Electronic Systems, 43(2):571 -580, April 2007. Keyword(s): SAR Processing, Apodization, Spatially Variant Apodization, SVA, SAR system, finite signal sampling rate condition, nonlinear filtering, robust SVA method, sidelobe levels signal resolution, synthetic aperture radar, target detection capability, two-dimensional generalization, variant filter, image resolution. [Abstract] [bibtex-entry]


  26. R.L. Morrison, Minh N. Do, and D.C. Munson. SAR Image Autofocus By Sharpness Optimization: A Theoretical Study. IEEE Transactions on Image Processing, 16(9):2309-2321, September 2007. Keyword(s): SAR Processing, Autofocus, SAR image autofocus, intensity-squared metric, point-targets image, sharpness optimization, synthetic aperture radar, image processing, optimisation, synthetic aperture radar, Algorithms, Artificial Intelligence, Computer Simulation, Image Enhancement, Image Interpretation, Computer-Assisted, Models, Theoretical, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity;. [Abstract] [bibtex-entry]


  27. Robert. L. Morrison, Minh N. Do, and David C. Munson. SAR Image Autofocus By Sharpness Optimization: A Theoretical Study. IEEE Transactions on Image Processing, 16(9):2309-2321, Sept 2007. Keyword(s): SAR Processing, Autofocus, image processing, optimisation, synthetic aperture radar, SAR image autofocus, intensity-squared metric, point-targets image, sharpness optimization, synthetic aperture radar, Demodulation, Electronics packaging, Focusing, Image analysis, Image restoration, Iterative algorithms, Optimization methods, Phase estimation, Radar imaging, Synthetic aperture radar, Autofocus, iterative methods, sharpness optimization, sparsity condition, synthetic aperture radar (SAR), Algorithms, Artificial Intelligence, Computer Simulation, Image Enhancement, Image Interpretation, Computer-Assisted, Models, Theoretical, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity. [Abstract] [bibtex-entry]


  28. T. J. Schulz. Optimal Sharpness Function for SAR Autofocus. IEEE Signal Processing Letters, 14(1):27-30, January 2007. Keyword(s): error correction, error statistics, maximum likelihood estimation, radar imaging, synthetic aperture radar, image-domain sharpness function, autofocusing, phase-error correction, synthetic aperture radar imagery, SAR, optimization, statistical estimation, maximum-likelihood estimation, maximum-posterior estimation, intensity-squared sharpness, Layout, Phase estimation, Optimization methods, Synthetic aperture radar, Discrete Fourier transforms, Maximum likelihood estimation, Reflectivity, Error correction, Computer errors, Signal processing, MAP estimation, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]


  29. E.J. Candes, J. Romberg, and T. Tao. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory, 52(2):489-509, feb. 2006. Keyword(s): Fourier coefficient, convex optimization, discrete-time signal, image reconstruction, incomplete frequency information, linear programming, minimization problem, nonlinear sampling theorem, piecewise constant object, probability value, robust uncertainty principle, signal reconstruction, sparse random matrix, trigonometric expansion, Fourier analysis, convex programming, image reconstruction, image sampling, indeterminancy, linear programming, minimisation, piecewise constant techniques, probability, signal reconstruction, signal sampling, sparse matrices;. [Abstract] [bibtex-entry]


  30. E. Colin, C. Titin-Schnaider, and W. Tabbara. An interferometric coherence optimization method in radar polarimetry for high-resolution imagery. IEEE Trans. Geosci. Remote Sens., 44(1):167-175, January 2006. Keyword(s): backscatter, data acquisition, geophysical signal processing, geophysical techniques, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, X-band interferometric SAR image, X-band polarimetric SAR image, anechoic chamber, data acquisition, high-resolution imagery, interferometric coherence optimization, point scatterer separation, radar polarimetry, single-mechanism coherence, synthetic aperture radar, target measurements, Anechoic chambers, Antenna measurements, Decorrelation, Electromagnetic scattering, Image resolution, Optimization methods, Polarization, Radar polarimetry, Radar scattering, Synthetic aperture radar interferometry, Coherence optimization, interferometry, polarimetry. [Abstract] [bibtex-entry]


  31. E. Colin, C. Titin-Schnaider, and W. Tabbara. An interferometric coherence optimization method in radar polarimetry for high-resolution imagery. IEEE Trans. Geosci. Remote Sens., 44(1):167-175, January 2006. Keyword(s): X-band interferometric SAR image, X-band polarimetric SAR image, anechoic chamber, data acquisition, high-resolution imagery, interferometric coherence optimization, point scatterer separation, radar polarimetry, single-mechanism coherence, synthetic aperture radar, target measurements, backscatter, data acquisition, geophysical signal processing, geophysical techniques, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]


  32. J.L. Gomez-Dans, S. Quegan, and J.C. Bennett. Indoor C-band polarimetric interferometry observations of a mature wheat canopy. IEEE Trans. Geosci. Remote Sens., 44(4):768-777, April 2006. Keyword(s): SAR Processing, SAR Tomography, Tomography, 2D scan, HH polarization, VH polarization, VV polarization, crop height retrieval, ground-based synthetic aperture radar, incidence angle, indoor C-band polarimetric interferometry observation, polarimetric coherence optimization, polarimetric tomography, polarization synthesis, unconstrained coherence optimization, vegetation monitoring, wheat canopy, crops, radar polarimetry, radiowave interferometry, remote sensing by radar, synthetic aperture radar, vegetation mapping;. [Abstract] [bibtex-entry]


  33. E.J. Candes and T. Tao. Decoding by linear programming. IEEE Transactions on Information Theory, 51(12):4203-4215, December 2005. Keyword(s): Gaussian random matrix, basis pursuit, linear code decoding, linear programming, minimization problem, natural error correcting problem, simple convex optimization problem, sparse solution, uncertainty principle, Gaussian processes, convex programming, decoding, error correction codes, indeterminancy, linear codes, linear programming, minimisation, random codes, sparse matrices;. [Abstract] [bibtex-entry]


  34. M. Eineder and N. Adam. A maximum-likelihood estimator to simultaneously unwrap, geocode, and fuse SAR interferograms from different viewing geometries into one digital elevation model. Geoscience and Remote Sensing, IEEE Transactions on, 43(1):24 - 36, jan. 2005. Keyword(s): SAR interferogram fusion, SAR interferogram geocoding, SAR interferogram unwrapping, SRTM, Shuttle Radar Topography Mission, critical phase-unwrapping, digital elevation model, geometric baseline error estimates, heterogeneous synthetic aperture radar interferograms, incidence angle, interferometric multiangle observations, interferometric multibaseline observations, map geometry, maximum-likelihood algorithm, maximum-likelihood estimation, periodic likelihood function, radar baseline, radar heading angle, radar wavelength, rugged terrain, scatterer height, terrain mapping, viewing geometries, geophysical signal processing, maximum likelihood estimation, radar signal processing, radiowave interferometry, remote sensing by radar, synthetic aperture radar, terrain mapping;. [Abstract] [bibtex-entry]


  35. Alessandro Ferretti, Marco Bianchi, Claudio Prati, and Fabio Rocca. Higher-Order Permanent Scatterers Analysis. EURASIP Journal on Advances in Signal Processing, 2005(20):609604, 2005. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Differential SAR Interferometry, SAR Tomography, Permanent scatterers, geodesy, geophysical techniques, remote sensing by radar, synthetic aperture radar, terrain mapping, topography (Earth)InSAR, SAR interferometry, atmospheric disturbance, atmospheric phase screen, differential interferometry, geodesy, geometrical decorrelation, geophysical measurement technique, land surface topography, permanent scatterer, radar remote sensing, stable natural reflector, surface deformation monitoring, synthetic aperture radar, terrain mapping, topographic profile reconstruction. [Abstract] [bibtex-entry]


  36. J.A. Given and W.R. Schmidt. Generalized ISAR-part II: interferometric techniques for three-dimensional location of scatterers. Image Processing, IEEE Transactions on, 14(11):1792 -1797, nov. 2005. Keyword(s): aspect angle, diagnostic inverse synthetic aperture radar, interferometric ISAR optimization, naval vessel, radio-frequency scatterer, roll angle, ship orientation, ship position, specialized signal processing, substantial Doppler return, three-dimensional location, Doppler radar, electromagnetic wave scattering, military radar, radar resolution, radiowave interferometry, ships, synthetic aperture radar, Algorithms, Artificial Intelligence, Image Enhancement, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Information Storage and Retrieval, Interferometry, Pattern Recognition, Automated, Radar, Ships;. [Abstract] [bibtex-entry]


  37. Curtis W. Chen and Howard A. Zebker. Phase unwrapping for large SAR interferograms: statistical segmentation and generalized network models. IEEE Trans. Geosci. Remote Sens., 40(8):1709-1719, August 2002. Keyword(s): SAR Processing, phase unwrapping, SNAPHU, geophysical signal processing, image segmentation, optimisation, radar imaging, radiowave interferometry, remote sensing by radar, statistical analysis, synthetic aperture radar, InSAR data, SNAPHU, a posteriori probability, central Alaska, full-size interferograrn, generalized network models, interferometric input data, interferometric synthetic aperture radar data, large SAR interferograms, network-flow, nonlinear solver, phase unwrapping, secondary optimization problem, statistical models, statistical segmentation, statistical-cost network-flow phase-unwrapping algorithm, tile-unwrapping stage, tiles, topographic interferogram, Algorithm design and analysis, Data analysis, Geophysics computing, Partitioning algorithms, Phase estimation, Probability, Synthetic aperture radar interferometry, Two dimensional displays. [Abstract] [bibtex-entry]


  38. Curtis W. Chen and Howard A. Zebker. Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization. J. Opt. Soc. Am. A, 18(2):338-351, February 2001. Keyword(s): SAR Processing, phase unwrapping, SNAPHU, SAR Interferometry, InSAR, Synthetic aperture radar, Phase. [Abstract] [bibtex-entry]


  39. Rolf Scheiber and Alberto Moreira. Coregistration of interferometric SAR images using spectral diversity. IEEE Transactions on Geoscience and Remote Sensing, 38(5):2179-2191, September 2000. Keyword(s): SAR Processing, Spectral Diversity, Coregistration, Image Coregistration, InSAR, SAR Interferometry, Airborne SAR, Spaceborne SAR, geophysical signal processing, geophysical techniques, image registration, radar imaging, remote sensing by radar, synthetic aperture radar, terrain mappingInSAR, complex SAR signal, geophysical measurement technique, image registration, land surface, radar imaging, radar remote sensing, relative misregistration, synthetic aperture radar, terrain mapping. [Abstract] [bibtex-entry]


  40. 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 polarimetry, radar remote sensing, scalar interferometry, stochastic scattering model, strong polarization dependency, synthetic aperture radar, terrain mapping, vector wave interferometry, SAR Tomography. [Abstract] [bibtex-entry]


Conference articles

  1. C. Magnard, U. Wegmuller, C. Werner, F. Bonvin, and E. Meier. Planning tool for SAR missions. In Proc. European Conf. Synthetic Aperture Radar, pages 1052-1057, 2018. Keyword(s): Image segmentation, Optical variables measurement, Radar imaging, Image quality parameters, Incidence angles, Planning tools, Region of interest, Robust planning, Scattering char-acteristics, Sensor parameter, User-friendly-software, Synthetic aperture radar. [Abstract] [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. Thomas M. Benson, Daniel P. Campbell, and Daniel A. Cook. Gigapixel spotlight synthetic aperture radar backprojection using clusters of GPUs and CUDA. In 2012 IEEE Radar Conference, pages 0853-0858, May 2012. Keyword(s): SAR Processing, Back-Projection, Time-Domain Back-Projection, TDBP, CUDA, GPU, SAR Focusing, Azimuth Focusing, fast Fourier transforms, graphics processing units, parallel architectures, radar computing, radar imaging, resource allocation, synthetic aperture radar, CUDA Clusters, GPU Clusters, SAR image formation, computing nodes, fast Fourier transforms, gigapixel scale data set, gigapixel spotlight synthetic aperture radar backprojection, graphics processing units, image formation algorithms, image formation framework, nonplanar surfaces, wavefront planarity, Graphics processing unit, History, Interpolation, Kernel, Scalability, Sparse matrices, Synthetic aperture radar. [Abstract] [bibtex-entry]


  4. D. Monells, R. Iglesias, Jordi J. Mallorqui, X. Fabregas, and C. Lopez-Martinez. Phase quality optimization in Orbital Differential SAR Interferometry with fully polarimetric data. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 1864-1867, 2012. Keyword(s): SAR Processing, PSI, Persistent Scatterer Interferometry, Spaceborne SAR, InSAR, DInSAR, Polarimetry, geophysical image processing, geophysical techniques, optimisation, radar interferometry, radar polarimetry, synthetic aperture radar, Barcelona, DInSAR processing, Fine Quad-Pol Radarsat-2 acquisitions, Radarsat-2, Spain, TerraSAR-X, analytical techniques, fully polarimetric data, interferometric technique, orbital Differential SAR Interferometry, phase quality optimization, polarimetric technique, single polarization SAR, terrain deformation phenomena, Coherence, Correlation, Histograms, Interferometry, Optimization, Synthetic aperture radar, Vectors, Coherence optimization, Pol-DInSAR, Terrain deformation, multi-baseline. [Abstract] [bibtex-entry]


  5. Angel Ribalta. Optimizing the factorisation parameters in the fast factorized backprojection algorithm. In Proc. EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar, pages 356-359, April 2012. Keyword(s): SAR Processing, Time-Domain Back-Projection, TDBP, Fast-Factorized Back-Projection, FFBP, Optimization, Factorization Parameter Optimization. [Abstract] [bibtex-entry]


  6. L. Pipia, X. Fabregas, A. Aguasca, C. López-Martìnez, and J. J. Mallorquì. Polarimetric coherence optimization for interferometric differential applications. In Proc. IEEE Int. Geoscience and Remote Sensing Symp, volume 5, pages 146-149, July 2009. Keyword(s): GB-SAR, ground-based SAR, terrestrial SAR, data acquisition, optimisation, radar interferometry, radar polarimetry, DInSAR, X-band ground-based PolSAR acquisitions, deformation phase information, differential interferometric SAR, interferometric differential applications, optimized differential phase, polarimetric coherence optimization, polarimetric coherence-optimization techniques, synthetic PolSAR data, urban environment, zero-baseline fully-polarimetric data sets, Amplitude estimation, Analytical models, Convergence, Deformable models, Information retrieval, Interferometry, Optimization methods, Remote sensing, Scattering, Synthetic aperture radar, DInSAR, PolInSAR, ground-based SAR. [bibtex-entry]


  7. F. Gumbmann, H. P. Tran, J. Weinzierl, and L. P. Schmidt. Optimization of a fast scanning millimetre-wave short range SAR imaging system. In Proc. European Radar Conference, pages 24-27, October 2007. Keyword(s): SAR Processing, W-Band, frequency response, millimetre wave imaging, radar imaging, synthetic aperture radar, waveguide couplers, SAR algorithms, W-band short range imaging system, active imaging system, broadband frequency response, fast scanning millimetre-wave short range SAR imaging system, high directivity waveguide coupler, monostatic virtual antenna concept, nondestructive testing applications, quasioptical broadband diplexer, receiver channel, security applications, synthetic aperture radar, transmitter channel, unfocused measurement setup, Antenna measurements, Focusing, Frequency measurement, Frequency response, Nondestructive testing, Pixel, Radar polarimetry, Security, System testing, Transmitters. [Abstract] [bibtex-entry]


  8. E. Candes and J. Romberg. Robust Signal Recovery from Incomplete Observations. In Proc. IEEE Int. Conf. Image Processing, pages 1281-1284, October 2006. Keyword(s): convex optimization program, linear measurement, sparse signal reconstruction, convex programming, signal reconstruction;. [Abstract] [bibtex-entry]


  9. An Daoxiang, Huang Xiaotao, and Wang Liang. Contrast Optimized PGA Algorithm for P-band UWB SAR. In Radar, 2006. CIE '06. International Conference on, pages 1-4, Oct. 2006. Keyword(s): SAR Processing, Autofocus, Phase Gradient Autofocus, Contrast Optimization. [Abstract] [bibtex-entry]


  10. Charles L. Werner, Urs Wegmuller, and Tazio Strozzi. Processing Strategies for Phase Unwrapping for InSAR Applications. In Proc. of EUSAR 2002 - 4th European Conference on Synthetic Aperture Radar, volume 1, pages 353-356, 2002. Keyword(s): SAR Processing, Interferometry, Phase Unwrapping, Minimum Cost Flow, Branch Cut. [Abstract] [bibtex-entry]


  11. P. Zavattero. Distributed target SAR image de-blurring using phase gradient autofocus. In Radar Conference, 1999. The Record of the 1999 IEEE, pages 246-249, April 1999. Keyword(s): SAR Processing, Autofocus, Phase Gradient Autofocus. [Abstract] [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: Mon Feb 1 16:40:38 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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