30 April 2003 Polarimetric scattering indexes and information entropy of SAR imagery for surface monitoring
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Abstract
The Mueller matrix solution and eigen-analysis of the coherency matrix for completely polarimetric scattering have been applied to analysis of the SAR (synthetic aperture radar) imagery. Co-polarized and cross-polarized backscattering for any polarized incidence can be obtained. The polarization index is usually defined as a parameter to classify the difference between polarized scattering signatures from the terrain surfaces. In this paper, the eigen-values of the coherency matrix and information entropy are derived to directly relate with measurements of the co-polarized and cross-polarized indexes. Thus, it combines the Mueller matrix simulation, the information entropy of the coherence matrix, and two polarization indexes together and yields a quantitative evaluation for surface classification in the SAR imagery. This theory is applied to analysis of the AirSAR images and fields measurements.
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Yaqiu Jin, Fei Chen, "Polarimetric scattering indexes and information entropy of SAR imagery for surface monitoring", Proc. SPIE 4894, Microwave Remote Sensing of the Atmosphere and Environment III, (30 April 2003); doi: 10.1117/12.466092; https://doi.org/10.1117/12.466092
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