Publications about 'data compression'

Articles in journal or book chapters

1. Homa Ansari, Francesco De Zan, and Richard Bamler. Sequential Estimator: Toward Efficient InSAR Time Series Analysis. IEEE Transactions on Geoscience and Remote Sensing, 55(10):5637-5652, October 2017. Keyword(s): SAR Processing, SAR Interferometry, InSAR, differential SAR interferometry, D-InSAR, covariance matrices, data compression, image coding, radar imaging, radar interferometry, synthetic aperture radar, time series, Big Data, InSAR time series analysis, compressed data batch artificial interferograms, data batch compression, data covariance matrix analysis, data reduction, high-precision near-real-time processing, interferometric phase estimation, recursive estimation, sequential estimator, virtual image estimator, wide-swath synthetic aperture radar mission, Coherence, Earth, Maximum likelihood estimation, Monitoring, Synthetic aperture radar, Time series analysis, Big Data, coherence estimation error, data compression, differential interferometric synthetic aperture radar (DInSAR), distributed scatterers, efficiency, error analysis, low-rank approximation, maximum-likelihood estimation (MLE). [Abstract] [bibtex-entry]



2. Esteban Aguilera, Matteo Nannini, and Andreas Reigber. A Data-Adaptive Compressed Sensing Approach to Polarimetric SAR Tomography of Forested Areas. IEEE Geosci. Remote Sens. Lett., 10(3):543-547, May 2013. Keyword(s): SAR Processing, SAR Tomography, Compressed sensing, Compressive sensing, Covariance matrix, Synthetic aperture radar, Tomography, data compression, forestry, radar polarimetry, tomography, vegetation mapping, wavelet transforms, DLR, E-SAR sensor, German Aerospace Center, covariance fitting, data adaptive compressed sensing approach, data adaptive orthonormal basis, forested areas, fully polarimetric L-band data, multiple looks, multiple polarimetric channels, partial scatterers, polarimetric SAR tomography, superresolution imaging, Distributed compressed sensing (DCS), Kronecker basis, polarimetry, wavelets, E-SAR, F-SAR, L-Band, Airborne SAR. [Abstract] [bibtex-entry]



3. 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]



4. Martin Stangl, Rolf Werninghaus, B. Schweizer, C. Fischer, Michael Brandfass, Josef Mittermayer, and Helko Breit. TerraSAR-X Technologies and First Results. Radar, Sonar & Navigation, 153(2):86 - 95, April 2006. Keyword(s): SAR Processing, TerraSAR-X, Spaceborne SAR, X-Band, Instrument Description, Imaging Modes, Stripmap, ScanSAR, Spotlight SAR, TerraSAR-X multimode SAR processor, TMSP, Chirp Scaling Algorithm, CSA, SPECAN Algorithm, SPECAN. [Abstract] [bibtex-entry]



5. R. Lanari, M. Tesauro, E. Sansosti, and G. Fornaro. Spotlight SAR data focusing based on a two-step processing approach. IEEE Transactions on Geoscience and Remote Sensing, 39(9):1993 -2004, September 2001. Keyword(s): SPECAN algorithm, azimuth spectral folding, data focusing, data-focusing algorithm, deramping, geophysical measurement technique, high bandwidth transmitted chirp signals, land surface, radar remote sensing, space-invariant azimuth filtering, space-variant characteristics, spaceborne radar, spectral analysis, spotlight SAR, stripmap focusing, synthetic aperture radar, terrain mapping, two-step process, geophysical signal processing, geophysical techniques, radar imaging, remote sensing by radar, spaceborne radar, synthetic aperture radar, terrain mapping. [Abstract] [bibtex-entry]



6. G.W. Davidson, Ian G. Cumming, and M.R. Ito. A chirp scaling approach for processing squint mode SAR data. IEEE_J_AES, 32(1):121-133, January 1996. Keyword(s): SAR Processing, C-band, L-band, chirp scaling algorithm, image degradations, image formation, nonlinear FM chirp scaling, phase modulation, range-variant filtering, resolution width, secondary range compression, sidelobe level, squint mode SAR data, FM radar, data compression, filtering theory, image resolution, phase modulation, radar imaging, synthetic aperture radar. [Abstract] [bibtex-entry]



7. Jong-Sen Lee, K. W. Hoppel, S. A. Mango, and A. R. Miller. Intensity and phase statistics of multilook polarimetric and interferometric SAR imagery. IEEE Trans. Geosci. Remote Sens., 32(5):1017-1028, September 1994. Keyword(s): feature extraction, geophysical techniques, geophysics computing, image coding, image recognition, remote sensing by radar, synthetic aperture radar, complex correlation coefficient, data compression, decorrelation effects, feature classification, feature extraction, geophysical measurement technique, image classification, intensity statistics, interferometric SAR imagery, land surface imaging, multilook phase difference, multilook polarimetry, phase statistics, probability density function, radar remote sensing, scattering matrix, signal processing, speckle reduction, synthetic aperture radar, Covariance matrix, Decorrelation, Density functional theory, NASA, Phase measurement, Radar polarimetry, Radar scattering, Sea measurements, Speckle, Statistics. [Abstract] [bibtex-entry]

Conference articles

1. M. Faisal, M. A. H. Chowdhury, M. A. I. Bhuyan, N. H. M. Bhuyan, and A. Matin. Development of a polarimetric interferometric GB-SAR and perform measurement for a fixed target. In Proc. Computer and Communication Engineering (ECCE) 2017 Int. Conf. Electrical, pages 285-289, February 2017. Keyword(s): GB-SAR, ground-based SAR, terrestrial SAR, horn antennas, radar antennas, radar interferometry, radar target recognition, synthetic aperture radar, SAR system, antenna positioner, building vehicles, data compression, double ridge guide horn antenna, fixed target, ground vehicles, ground-based synthetic aperture radar system, innovative monitoring technique, perform measurement, polarimetric & interferometric GB-SAR, vector network analyzer, Antenna measurements, Apertures, Frequency-domain analysis, Image reconstruction, Monitoring, Synthetic aperture radar, Time-domain analysis, Global Backprojection (GBP), Ground-Based SAR (GB-SAR), Interferometry, Low loss-high frequency cable, Vector Network Analyzer (VNA). [bibtex-entry]



2. Güner Arslan, Magesh Valliappan, and Brian L. Evans. Quality Assessment of Compression Techniques for Synthetic Aperture Radar Images. In International Conference on Image Processing, ICIP 1999, volume 3, pages 857-861, October 1999. Keyword(s): Data Compression, Quality Assessment, Quality Measures, Edge Correlation Quality Measure. [Abstract] [bibtex-entry]



3. James E. Harris, Randall S. Ostler, Douglas M. Chabries, and Richard W. Christiansen. Quality Measures for SAR Images. In IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP, volume 2, pages 1064-1067, April 1988. Keyword(s): SAR Processing, Quality Assessment, Quality Measures. [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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