Publications about 'Quantization'

Articles in journal or book chapters

  1. Steffen Wollstadt, Pau Prats, Markus Bachmann, Josef Mittermayer, and Rolf Scheiber. Scalloping Correction in TOPS Imaging Mode SAR Data. IEEE Geosci. Remote Sens. Lett., 9(4):614-618, July 2012. Keyword(s): SAR Processing, TOPS, Terrain Observation by Progressive Scans, antenna phased arrays, beam steering, calibration, geophysical image processing, phased array radar, radar antennas, radar imaging, synthetic aperture radar, terrain mapping, TOPS imaging mode, TSX, TerraSAR-X antenna model, calibration, electronic beam steering, general cardinal sine antenna model, phased array antenna, scalloping correction, scalloping simulation, synthetic aperture radar, terrain observation by progressive scan, Antennas, Arrays, Azimuth, Beam steering, Calibration, Imaging, Quantization, Electronic beam steering, TOPS calibration, TerraSAR-X (TSX), Terrain Observation by Progressive Scan (TOPS), phased array antenna, scalloping. [Abstract] [bibtex-entry]

  2. 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]

  3. A. Zymnis, S. Boyd, and E. Candes. Compressed Sensing With Quantized Measurements. IEEE Signal Processing Letters, 17(2):149-152, February 2010. Keyword(s): Gaussian noise, compressed sensing, convex function, first order method, numerical simulation, quantized measurement, sparse signal estimation, Gaussian noise, quantisation (signal), signal processing;. [Abstract] [bibtex-entry]

  4. Ian G. Cumming and S. Li. Adding Sensitivity to the MLBF Doppler Centroid Estimator. IEEE Transactions on Geoscience and Remote Sensing, 45(2):279-292, Feb. 2007. Keyword(s): SAR Processing, Multilook Beat Frequency, MLPF, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, Doppler radar, fast Fourier transforms, frequency estimation, radar signal processing, remote sensing by radar, sensitivity, synthetic aperture radarDoppler ambiguity, Doppler centroid estimator, FFT, Fourier transform, MLBF algorithm, RADARSAT-1, ScanSAR, cross beating, estimation sensitivity, multilook beat frequency algorithm, range migration, target trajectory. [Abstract] [bibtex-entry]

Conference articles

  1. Shu Li and Ian Cumming. Improved beat frequency estimation in the MLBF Doppler ambiguity resolver. In Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International, volume 5, pages 3348-3351, 2005. Keyword(s): SAR Processing, Doppler Centroid Estimation, Doppler Ambiguity Resolver, DAR, MLBF, Multilook Beat Frequency, Improved Multilook Beat Frequency. [Abstract] [bibtex-entry]

  2. Kenneth Abend and John W. McCorkle. Radio and TV interference extraction for ultrawideband radar. In Dominick A. Giglio, editor, Algorithms for Synthetic Aperture Radar Imagery II, Dominick A. Giglio; Ed., volume 2487, pages 119-129, 1995. SPIE. Keyword(s): SAR Processing, RFI Suppression, Ultra-Wideband SAR, Airborne SAR. [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 16:40:50 2021
Author: Othmar Frey, Earth Observation and Remote Sensing, Institute of Environmental Engineering, Swiss Federal Institute of Technology - ETH Zurich .

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