Publications about 'Polarimetric Synthetic Aperture Radar (SAR)'

Articles in journal or book chapters

1. G. H. X. Shiroma and M. Lavalle. Digital Terrain, Surface, and Canopy Height Models From InSAR Backscatter-Height Histograms. IEEE Transactions on Geoscience and Remote Sensing, 58(6):3754-3777, June 2020. Keyword(s): backscatter, forestry, optical radar, radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetation, vegetation mapping, digital terrain, canopy height models, InSAR backscatter-height histogram, interferometric synthetic aperture radar backscatter-height histograms, single-look backscatter measurements, InSAR phase height, InSAR histogram, LiDAR waveforms, ground topography, full-polarimetric L-band uninhabited aerial vehicle synthetic aperture radar data, forest height, Histograms, Laser radar, Forestry, Vegetation mapping, Backscatter, Synthetic aperture radar, Digital elevation models (DEMs), forest height, interferometry, L-band, polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR), polarimetry, SAR. [Abstract] [bibtex-entry]



2. 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]



3. Franck Garestier, Pascale C. Dubois-Fernandez, Dominique Guyon, and Thuy Le Toan. Forest Biophysical Parameter Estimation Using L- and P-Band Polarimetric SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 47(10):3379-3388, October 2009. Keyword(s): SAR Processing, Biomass, Biophysical Parameters, Forst, L-Band, P-Band, PolSAR, SAR Polarimetry, Airborne SAR, RAMSES, ONERA. [Abstract] [bibtex-entry]



4. Jong-Sen Lee, T.L. Ainsworth, J.P. Kelly, and C. Lopez-Martinez. Evaluation and Bias Removal of Multilook Effect on Entropy/Alpha/Anisotropy in Polarimetric SAR Decomposition. IEEE Trans. Geosci. Remote Sens., 46(10):3039-3052, Oct. 2008. Keyword(s): Monte Carlo methods, geophysical techniques, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, vegetationGerman Aerospace Research Center, JPL, Jet Propulsion Laboratory, L-band Advanced Land Observing Satellite, Monte Carlo simulation, airborne X-band polarimetric SAR, airborne interferometric SAR, alpha estimation, anisotropy estimation, bias removal algorithm, entropy estimation, forest, geophysical parameter estimation, grassland, multilook processing, phased array type L-band SAR, polarimetric SAR decomposition, scattering mechanisms, urban returns. [Abstract] [bibtex-entry]



5. Thomas L. Ainsworth, Laurent Ferro-Famil, and Jong-Sen Lee. Orientation angle preserving a posteriori polarimetric SAR calibration. IEEE Trans. Geosci. Remote Sens., 44(4):994-1003, April 2006. Keyword(s): SAR Processing, Polarimetry, Polarimetric Calibration, calibration, radar polarimetrybackscatter, calibration, covariance matrices, geophysical techniques, radar polarimetry, remote sensing by radar, synthetic aperture radar, SAR data analysis, a posteriori polarimetric SAR calibration, anechoic chamber data, orientation angle, polarimetric channels, polarimetric covariance matrix, polarimetric distortion, polarimetric fidelity, polarimetric synthetic aperture radar, radar polarimetry, scattering reciprocity, Calibration, Costs, Covariance matrix, Data analysis, Equations, Parameter estimation, Polarimetric synthetic aperture radar, Radar scattering, Soil moisture, Synthetic aperture radar, Calibration, radar polarimetry. [Abstract] [bibtex-entry]



6. Y. Yamaguchi, Y. Yajima, and H. Yamada. A four-component decomposition of POLSAR images based on the coherency matrix. IEEE Geosci. Remote Sens. Lett., 3(3):292 -296, July 2006. Keyword(s): POLSAR image decomposition, coherency matrix, covariance matrix, four-component decomposition, nonreflection symmetric scattering, polarimetric SAR, synthetic aperture radar, covariance matrices, geophysical techniques, image processing, radar polarimetry, remote sensing by radar, synthetic aperture radar;. [Abstract] [bibtex-entry]



7. Y. Yamaguchi, T. Moriyama, M. Ishido, and H. Yamada. Four-component scattering model for polarimetric SAR image decomposition. IEEE Trans. Geosci. Remote Sens., 43(8):1699-1706, August 2005. Keyword(s): SAR Processing, polarimetric decomposition, Yamaguchi decomposition, asymmetric covariance matrix, cloud, co-pol correlation, cross-pol correlation, dipole scatterers, double bounce scattering, four-component scattering model, helix scattering power, image decomposition, nonreflection symmetric scattering, polarimetric SAR, probability density function, radar polarimetry, reflection symmetry condition, scattering contribution decomposition, surface scattering, symmetric covariance matrix, synthetic aperture radar, three-component decomposition method, urban area scattering, volume scattering, covariance matrices, geophysical signal processing, probability, radar polarimetry, remote sensing by radar, synthetic aperture radar. [Abstract] [bibtex-entry]



8. Jong-Sen Lee, Shane R. Cloude, Konstantinos P. Papathanassiou, M. R. Grunes, and I. H. Woodhouse. Speckle filtering and coherence estimation of polarimetric SAR interferometry data for forest applications. IEEE Trans. Geosci. Remote Sens., 41(10):2254-2263, October 2003. Keyword(s): SAR Processing, Forest, Forest parameters, biomass, averaging, boxcar filter, coherence estimation, forest applications, forest heights, ground topography, interferometric coherence, neighboring pixels, polarimetric SAR interferometry data, polarimetric interferometry matrix, polarimetric synthetic aperture radar interferometry, random volume, scattering characteristics, speckle filtering, adaptive filters, forestry, radar imaging, radar polarimetry, radiowave interferometry, remote sensing by radar, speckle, synthetic aperture radar. [Abstract] [bibtex-entry]



9. Jong-Sen Lee, M.R. Grunes, T.L. Ainsworth, Li-Jen Du, D.L. Schuler, and Shane R. Cloude. Unsupervised classification using polarimetric decomposition and the complex Wishart classifier. IEEE Transactions on Geoscience and Remote Sensing, 37(5):2249-2258, September 1999. Keyword(s): geophysical signal processing, geophysical techniques, image classification, radar imaging, radar polarimetry, remote sensing by radar, synthetic aperture radar, terrain mappingSAR, complex Wishart classifier, complex Wishart distribution, covariance matrix, entropy-alpha plane, geophysical measurement technique, initial classification map, iteration, land surface, man-made object, maximum likelihood classifier, polarimetric decomposition, polarimetric target decomposition, polarization, radar remote sensing, terrain mapping, terrain type, training, unsupervised classification. [Abstract] [bibtex-entry]

Conference articles

1. S. Wang, W. Feng, K. Kikuta, G. Chernyak, and M. Sato. Ground-Based Bistatic Polarimetric Interferometric Synthetic Aperture Radar System. In Proc. IEEE Int. Geosci. Remote Sens. Symp., pages 8558-8561, July 2019. Keyword(s): radar imaging, radar interferometry, radar polarimetry, remote sensing by radar, synthetic aperture radar, ground-based bistatic polarimetric interferometric synthetic aperture radar system, novel ground-based bistatic polarimetric synthetic aperture radar system, Optical Electric Field Sensor, trihedral corner reflector, polarimetric capability, monostatic SAR images, bistatic polarimetric SAR images, 2D displacement estimation, displaceable corner reflector, Radar polarimetry, Estimation, Two dimensional displays, Synthetic aperture radar, Optical interferometry, Bistatic radar, Adaptive optics, Bistatic radar, radar polarimetry, radar interferometry, two-dimensional displacement, OEFS. [Abstract] [bibtex-entry]



2. W. M. Boerner, G. Krieger, A. Reigber, I. Hajnsek, C. C. Schmullius, A. Moreira, M. Eineder, R. Bamler, F. J. Meyer, S. Hensley, J. J. van Zyl, M. Neumann, M. Shimada, M. Ohki, J. T. S. Sumantyo, K. Hattori, F. J. Ocampo-Torres, O. Ponce, J. Moreira, J. Campos, L. Yi-Long, P. Dubois-Fernandez, E. Pottier, T. LeToan, C. Surussavadee, V. C. Koo, T. S. Lim, R. H. Triharjanto, W. Hasbi, S. Mohan, and G. Singh. Development of new multi-band equatorially orbiting POLinSAR satellite sensors system configurations for varying latitudinal coverage within total tropical belt: Invited group presentation for establishing an associated Consortium. In Proc. IEEE 5th Asia-Pacific Conf. Synthetic Aperture Radar (APSAR), pages 342-345, September 2015. Keyword(s): meteorological radar, radar interferometry, radar polarimetry, remote sensing by radar, energy resources, global weather phenomena, latitudinal coverage, local environmental deterioration, mineral extraction, multiband equatorially orbiting POLINSAR satellite sensors, polarimetric POLINSAR satellite, stable food base, total tropical belt, Belts, Hazards, Orbits, Remote sensing, Satellites, Sensors, Synthetic aperture radar, Disaster assessment and reduction, Environmental remote sensing, Equatorial orbiting satellite sensors, Geophysical monitoring, Natural and manmade hazard detection, Polarimetric Synthetic Aperture Radar (SAR), Polarization radar, Surveillance, Tropical Equatorial Belt (TEB). [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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