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Publications about 'Minimization'

Articles in journal or book chapters

  1. J. I. Buskenes, Roy E. Hansen, and A. Austeng. Low-Complexity Adaptive Sonar Imaging. IEEE Journal of Oceanic Engineering, 42(1):87-96, January 2017. Keyword(s): Synthetic Aperture Sonar, SAS, Sonar, array signal processing, interference suppression, sonar imaging, DAS beamformer, Hamming window function, Kaiser window, Kongsberg Maritime HISAS1030 sonar, LCA beamformer, delay-and-sum beamformer, gain -3 dB, interference minimization, low-complexity adaptive sonar imaging, minimum variance distortionless response, parallel hardware, rectangular window function, robust MVDR implementation, spatial statistics, Array signal processing, Arrays, Covariance matrices, Image resolution, Imaging, Robustness, Sonar, Active, LCA, MVDR, active filters, adaptive beamforming, adaptive filters, beamforming, complexity, computational complexity, phased arrays, sonar, spatial filters. [Abstract] [bibtex-entry]


  2. Marco Lavalle and Scott Hensley. Extraction of Structural and Dynamic Properties of Forests From Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation. IEEE Trans. Geosci. Remote Sens., 53(9):4752-4767, September 2015. Keyword(s): SAR Processing, Decorrelation, Temporal Decorrelation, Gaussian processes, optical radar, radar imaging, radar interferometry, radar polarimetry, synthetic aperture radar, vegetation mapping, Gaussian-statistic motion model, Harvard Forest, L-band NASA Uninhabited Aerial Vehicle Synthetic Aperture Radar, Laser Vegetation and Ice Sensor, Massachussetts, NASA lidar, RMoG model, RVoG model, USA, canopy elements, canopy motion, forest biomass estimation, forest dynamic property, forest property estimation, forest structural property, forest vertical structure, least square distance minimization, lidar-derived height, multiplicative factors, polarimetric channels, polarimetric-interferometric SAR data, polarimetric-interferometric coherence, polarimetric-interferometric radar image, random-motion-over-ground model, random-volume-over-ground model, temporal coherence, temporal decorrelation effect, tree height, volumetric coherence, volumetric decorrelation effect, wave polarization, Biomass, Coherence, Data models, Decorrelation, Radar, Vegetation, Decorrelation, interferometry, polarimetry. [Abstract] [bibtex-entry]


  3. 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]


  4. 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]


  5. 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]


  6. 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]


  7. Tom R. Lauknes, Howard A. Zebker, and Y. Larsen. InSAR Deformation Time Series Using an L1-Norm Small-Baseline Approach. IEEE Trans. Geosci. Remote Sens., 49(1):536-546, January 2011. Keyword(s): SAR Processing, InSAR deformation time series, L1-norm small-baseline approach, displacement phase, land displacement monitoring, reweighted least squares algorithm, satellite data, satellite synthetic aperture radar interferometry, sparse data set, surface displacement, two-dimensional unwrapping, unwrapped interferogram, least squares approximations, radar interferometry, spaceborne radar, synthetic aperture radar, time series;. [Abstract] [bibtex-entry]


  8. 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]


  9. E.J. Candes and T. Tao. The Power of Convex Relaxation: Near-Optimal Matrix Completion. IEEE Transactions on Information Theory, 56(5):2053-2080, May 2010. Keyword(s): collaborative filtering, convex relaxation, free probability, information theoretic limit, matrix completion problem, near-optimal matrix completion, nuclear norm minimization, random matrices, random matrix theory, semidefinite programming, convex programming, information theory, random processes;. [Abstract] [bibtex-entry]


  10. Piyush Shanker Agram and Howard Zebker. Edgelist phase unwrapping algorithm for time series InSAR analysis. J. Opt. Soc. Am. A, 27(3):605-612, March 2010. Keyword(s): SAR Processing, Three-dimensional image processing, Interferometry, InSAR, SAR Interferometry, Synthetic aperture radar, Phase, Phase unwrapping. [Abstract] [bibtex-entry]


  11. 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]


  12. 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]


  13. 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]


  14. 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]


  15. Mario Costantini. A novel phase unwrapping method based on network programming. IEEE Trans. Geosci. Remote Sens., 36(3):813-821, May 1998. Keyword(s): SAR Processsing, phase unwrapping, SAR Interferometry, InSAR, SAR, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, synthetic aperture radar, SAR interferometry, function reconstruction, geophysical measurement technique, global minimization problem, interferometric SAR, land surface, neighboring pixel, network programming, network structure, phase difference, phase unwrapping method, radar imaging, radar remote sensing, synthetic aperture radar, terrain mapping, Costs, Fast Fourier transforms, Functional programming, Interferometry, Performance evaluation, Phase estimation, Robustness, Synthetic aperture radar, Testing, Two dimensional displays. [Abstract] [bibtex-entry]


Conference articles

  1. Brian D. Rigling. Multistage entropy minimization for SAR image autofocus. In Edmund G. Zelnio and Frederick D. Garber, editors, Algorithms for Synthetic Aperture Radar Imagery XIII, volume 6237, pages 150 - 159, 2006. International Society for Optics and Photonics, SPIE. Keyword(s): SAR Processing, SAR, ground map, autofocus. [Abstract] [bibtex-entry]


  2. L. R. Varshney and D. Thomas. Sidelobe reduction for matched filter range processing. In Proc. IEEE Radar Conf., pages 446 - 451, 2003. Keyword(s): SAR Processing, Apodization, Spatially Variant Apodization, Dual Apodization, leakage energy minimization, linear frequency modulation, matched filtering, nonlinear frequency modulation, pulse compression ratio, range sidelobes, sidelobe control, sidelobe reduction, chirp modulation, frequency modulation, matched filters, minimisation, nonlinear filters, radar detection, radar interference, radar signal processing. [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 16:40:26 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .


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