Partially correlated K-distribution for multi-look polarimetric SAR images

Author

Yongjian, Yu ; Shunji, Hang ; Torre, Andrea

Author_Institution

Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

1996

fDate

8-10 Oct 1996

Firstpage

317

Lastpage

320

Abstract

A partially correlated polarimetric K-distribution model is presented to characterize statistical properties of multi-look polarimetric SAR data acquired over urban areas. The model was derived in terms of a matrix product model in which different texture variables are assigned to different polarization channels. The joint distribution of these textural variables are assumed to be partially correlated Gamma. Experimental assessment of the model was conducted using NASA/JPL polarimetric SAR data of urban areas, showing improvement in better characterizing urban polarimetric SAR backscattering

Keywords

backscatter; correlation methods; gamma distribution; image texture; radar cross-sections; radar imaging; radar polarimetry; remote sensing by radar; statistical analysis; synthetic aperture radar; Gamma distribution; NASA/JPL polarimetric SAR data; SAR backscattering; matrix product model; multi-look polarimetric SAR images; partially correlated polarimetric K-distribution model; polarization channels; statistical properties; texture variables; urban areas; Covariance matrix; Crops; Integrated circuit modeling; Layout; Partial response channels; Polarization; Random variables; Scattering; Testing; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Radar, 1996. Proceedings., CIE International Conference of

Conference_Location

Beijing

Print_ISBN

0-7803-2914-7

Type

conf

DOI

10.1109/ICR.1996.574451

Filename

574451