Publications about 'sparsity'

Articles in journal or book chapters

1. Meenu Rani, S. B. Dhok, and R. B. Deshmukh. A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications. IEEE Access, 6:4875-4894, 2018. Keyword(s): Compressive Sensing, CS, Sensors, Transforms, Mathematical model, Sparse matrices, Compressed sensing, Reconstruction algorithms, Image reconstruction, systematic review, compressive sensing, sensing modality, sparse representation, compressible representation, Nyquist sampling rate, varied reconstruction algorithms, compressive measurements, CS acquisition strategies, signal representation, transform domain, sparsity, random demodulator, CS reconstruction algorithms, OMP, CS applications. [Abstract] [bibtex-entry]



2. Alessandra Budillon, Angel Caroline Johnsy, and Gilda Schirinzi. Extension of a Fast GLRT Algorithm to 5D SAR Tomography of Urban Areas. Remote Sensing, 9(8), 2017. Keyword(s): SAR Processing, SAR Tomography, radar detection, GLRT, Fast GLRT, deformation, PSI, persistent scatterer interferometry, displacement mapping, radar receivers, radar resolution, synthetic aperture radar, tomography, GLRT detector, ROC curve, SAR tomography, Sup-GLRT, elevation direction, generalized likelihood ratio test detector, multiple scatterer detection, nominal system resolution, nominal system super-resolution, receiver operating characteristic curve, signal sparsity, signal support detection operation, signal support estimation operation, signal-to-noise ratio, subspace energy measurement, synthetic aperture radar, Earth, Estimation, Signal resolution, Spatial resolution, Synthetic aperture radar, Tomography, Generalized likelihood ratio test (GLRT), radar detection, sparse signals, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



3. 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]



4. Alessandra Budillon and Gilda Schirinzi. GLRT Based on Support Estimation for Multiple Scatterers Detection in SAR Tomography. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(3):1086-1094, March 2016. Keyword(s): SAR Processing, SAR Tomography, radar detection, radar receivers, radar resolution, synthetic aperture radar, tomography, GLRT detector, ROC curve, SAR tomography, Sup-GLRT, elevation direction, generalized likelihood ratio test detector, multiple scatterer detection, nominal system resolution, nominal system super-resolution, receiver operating characteristic curve, signal sparsity, signal support detection operation, signal support estimation operation, signal-to-noise ratio, subspace energy measurement, synthetic aperture radar, Earth, Estimation, Signal resolution, Spatial resolution, Synthetic aperture radar, Tomography, Generalized likelihood ratio test (GLRT), radar detection, sparse signals, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



5. Timothy M. Marston and Jermaine L. Kennedy. Volumetric Acoustic Imaging via Circular Multipass Aperture Synthesis. IEEE Journal of Oceanic Engineering, 41(4):852-867, October 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. M. \cCetin, I. Stojanovic, N.O. Önhon, K.R. Varshney, S. Samadi, W.C. Karl, and A.S. Willsky. Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing. IEEE Signal Processing Magazine, 31(4):27-40, July 2014. Keyword(s): SAR Processing, Autofocus, compressed sensing, image representation, radar imaging, synthetic aperture radar, SAR image formation, SAR sensing mission design, anisotropy characterization, compressed sensing-based analysis, joint autofocusing, joint imaging, phase errors, sparsity-based methods, sparsity-driven synthetic aperture radar imaging, synthesis-based sparse signal representation formulations, wide-angle SAR imaging, Image reconstruction, Imaging, Radar imaging, Radar polarimetry, Scattering, Synthetic aperture radar. [Abstract] [bibtex-entry]



7. 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]



8. 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, 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]



9. 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]



10. 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]



11. 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]

Conference articles

1. 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]

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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.

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