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Proceedings Paper

Polarimetric scattering indexes and information entropy of SAR imagery for surface monitoring
Author(s): Yaqiu Jin; Fei Chen
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Paper 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.

Paper Details

Date Published: 30 April 2003
PDF: 8 pages
Proc. SPIE 4894, Microwave Remote Sensing of the Atmosphere and Environment III, (30 April 2003); doi: 10.1117/12.466092
Show Author Affiliations
Yaqiu Jin, Fudan Univ. (China)
Fei Chen, Fudan Univ. (China)

Published in SPIE Proceedings Vol. 4894:
Microwave Remote Sensing of the Atmosphere and Environment III
Christian D. Kummerow; JingShang Jiang; Seiho Uratuka, Editor(s)

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