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, Yaqiu Jin, Fei Chen, 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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