Partially correlated polarimetric K-distribution for multilook polarimetric SAR images

Yongjian Yu; ShunJi Huang; Andrea Torre

doi:10.1117/12.258277

14 November 1996 Partially correlated polarimetric K-distribution for multilook polarimetric SAR images

Yongjian Yu, ShunJi Huang, Andrea Torre

Proceedings Volume 2847, Applications of Digital Image Processing XIX; (1996) https://doi.org/10.1117/12.258277
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

A partially correlated polarimetric K-distribution model is presented to characterize statistical properties of multi- look polarimetric SAR data acquired over building-and-road- densely-distributed urban areas. The model is a generalization to the usual polarimetric K-distribution one and is formulated in terms of the matrix product model in which different texture variable s are assigned to different polarization channels. The joint distribution of these texture variables are assumed to be partially correlated Gamma. Testing of the generalized K-distribution model was conducted using NASA/JPL polarimetric SAR data of a building-and-road-densely-distributed urban area, showing that the generalized K-model is more precise than the usual K-model in characterizing statistical properties of complex urban polarimetric SAR backscattering.

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Yongjian Yu, ShunJi Huang, and Andrea Torre "Partially correlated polarimetric K-distribution for multilook polarimetric SAR images", Proc. SPIE 2847, Applications of Digital Image Processing XIX, (14 November 1996); https://doi.org/10.1117/12.258277

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KEYWORDS

Polarimetry

Synthetic aperture radar

Data modeling

Statistical modeling

Polarization

Algorithm development

Image resolution

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