Publications about 'reconstruction algorithms'

Thesis

1. Jerald L. Bauck. Tomographic Processing of Synthetic Aperture Radar Signals for Enhanced Resolution. PhD thesis, 1989. Keyword(s): SAR Processing, Bistatic SAR, Back-Projection, bistatic synthetic aperture radar, Azimuth Focusing, convolution back-projection, elliptical-arc projections, final reconstructed image, ground patch, image resource, pixel, weighting, radar cross-sections, radar theory, Spotlight mode, Airborne SAR, Tomographic Processing, Tomography, Wavefront Curvature. [Abstract] [bibtex-entry]

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. N. Sakar, M. Rodriguez-Cassola, P. Prats-Iraola, and A. Moreira. Azimuth Reconstruction Algorithm for Multistatic SAR Formations With Large Along-Track Baselines. IEEE Transactions on Geoscience and Remote Sensing, pp 1-10, 2019. Keyword(s): Azimuth, Synthetic aperture radar, Image reconstruction, History, Receivers, Doppler effect, Reconstruction algorithms, Digital beamforming, high-resolution wide-swath (HRWS) radar, multistatic radar signal processing, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



3. 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]



4. Nida Sakar, Marc Rodriguez-Cassola, Pau Prats-Iraola, Andreas Reigber, and Alberto Moreira. Analysis of Geometrical Approximations in Signal Reconstruction Methods for Multistatic SAR Constellations With Large Along-Track Baseline. IEEE Geoscience and Remote Sensing Letters, 15(6):892-896, June 2018. Keyword(s): Doppler effect, Geometry, History, Image reconstruction, Receivers, Spaceborne radar, Synthetic aperture radar, Digital beamforming, high-resolution wide-swath (HRWS) radar, multistatic radar signal processing, synthetic aperture radar (SAR). [Abstract] [bibtex-entry]



5. S. Tebaldini, F. Rocca, M. Mariotti d'Alessandro, and L. Ferro-Famil. Phase Calibration of Airborne Tomographic SAR Data via Phase Center Double Localization. IEEE Trans. Geosci. Remote Sens., 54(3):1775-1792, March 2016. Keyword(s): SAR Processing, SAR tomography, Apertures, Calibration, Focusing, Sensors, Surfaces, Synthetic aperture radar, Tomography, Distributed media, phase calibration, reconstruction algorithms, synthetic aperture radar (SAR), tomography. [Abstract] [bibtex-entry]



6. Enes Yigit, Sevket Demirci, Caner Ozdemir, and Mustafa Tekbas. Short-range ground-based synthetic aperture radar imaging: performance comparison between frequency-wavenumber migration and back-projection algorithms. Journal of Applied Remote Sensing, 7(1):1-13, 2013. Keyword(s): GBSAR, SAR Processing, Ground-based SAR, Synthetic aperture radar, TDBP, Time-Domain Back-Projection, omega-k, Range Migration Algorithm, Wavenumber Domain Algorithm. [Abstract] [bibtex-entry]



7. 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]



8. Angel Ribalta. Time-Domain Reconstruction Algorithms for FMCW-SAR. IEEE Geosci. Remote Sens. Lett., 8(3):396-400, May 2011. Keyword(s): SAR Processing, Time-Domain Back-Projection, TDBP, frequency-modulated continuous-wave, Ka-band, SAR, airborne SAR, FMCW, COBRA, Fraunhofer, FGAN, X-Band, W-Band, 10 GHz, 35 GHz, 94 GH, 220 GHz, 4 GHz Bandwidth at 35 and 94 GHz, 8 GHz Bandwidth at 220 GHz. [Abstract] [bibtex-entry]



9. 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]

Conference articles

1. Joachim H. G. Ender. The meaning of k-space for classical and advanced SAR techniques. In International Symposium Physics in Signal and Image Processing, PSIP 2001, Marseille, pages 23-38, January 2001. Keyword(s): SAR Processing, k-Space, Airborne SAR, Bistatic SAR, Teaching. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
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