Publications about 'coherency matrix'

Articles in journal or book chapters

1. S. Zwieback and I. Hajnsek. Statistical Tests for Symmetries in Polarimetric Scattering Coherency Matrices. IEEE_J_GRSL, 11(1):308-312, January 2014. Keyword(s): airborne radar, covariance matrices, geophysical equipment, geophysical techniques, invariance, radar polarimetry, scattering, statistical testing, Freeman-Durden decomposition, SAR polarimetry, airborne L-band data, covariance matrix, likelihood-ratio testing, mature rape field, polarimetric scattering coherency matrix, reflection invariance hypothesis, reflection symmetry, second-order statistics, synthetic aperture radar polarimetry, vegetation growth, Parametric statistics, polarimetric synthetic aperture radar, radar remote sensing. [bibtex-entry]



2. B. Minchew, C.E. Jones, and B. Holt. Polarimetric Analysis of Backscatter From the Deepwater Horizon Oil Spill Using L-Band Synthetic Aperture Radar. Geoscience and Remote Sensing, IEEE Transactions on, 50(10):3812-3830, October 2012. Keyword(s): AD 2010 06 23, Bragg scattering mechanism, DWH slick, Gulf of Mexico, L-band synthetic aperture radar, backscatter polarimetric analysis, coherency matrix eigenvalue, deepwater horizon, deepwater horizon oil spill, dielectric constant, entropy parameters, fully-polarimetric uninhabited aerial vehicle, ocean wave spectral components, oil slick, oil volumetric concentration, radar backscatter, sea water, slick detection method, substantial variation parameter, surface scattering analysis, synthetic aperture radar data, backscatter, eigenvalues and eigenfunctions, entropy, marine pollution, matrix algebra, ocean chemistry, ocean waves, oceanographic regions, oceanographic techniques, permittivity, radar interferometry, remote sensing by radar, seawater, synthetic aperture radar;. [Abstract] [bibtex-entry]



3. 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]



4. Shane R. Cloude and Eric Pottier. An entropy based classification scheme for land applications of polarimetric SAR. IEEE Trans. Geosci. Remote Sens., 35(1):68-78, January 1997. Keyword(s): SAR Processing, Polarimetric Decomposition, Cloude-Pottier Decomposition, Polarimetry, PolSAR, Entropy, Anisotropy, Alpha, H-A-alpha, S-matrix theory, geophysical signal processing, geophysical techniques, image classification, radar imaging, radar polarimetry, radar theory, remote sensing by radar, synthetic aperture radar, average target scattering matrix parameters, coherency matrix, eigenvalue analysis, entropy based classification, geophysical measurement technique, land surface, land use, parameterization, polarimetric SAR, polarimetric scattering problem, quantitative analysis, radar remote sensing, scattering entropy, terrain mapping, three-level Bernoulli statistical model, unsupervised classifier. [Abstract] [bibtex-entry]



5. Shane R. Cloude and Eric Pottier. A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34(2):498-518, March 1996. Keyword(s): S-matrix theory, backscatter, covariance matrices, eigenvalues and eigenfunctions, geophysical signal processing, matrix decomposition, radar cross-sections, radar imaging, radar polarimetry, remote sensing by radar, reviews, Mueller matrix, Stokes vector, coherency matrix, coherent decomposition, covariance matrix, eigenvector analysis, scattering matrix, target decomposition theorems, terrain, transformation theory. [Abstract] [bibtex-entry]

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