Title :
Partially correlated K-distribution for multi-look polarimetric SAR imagery
Author :
Yu, Yongjian ; Torre, Andrea ; Huan, Shunji
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A partially correlated polarimetric K-distribution model is presented to characterize statistical properties of multilook polarimetric SAR data from urban areas. The model was derived using a more general matrix form of the product model that uses separate gamma distributed texture variables for different polarization channels and assumes that these texture variables be partially correlated. Experimental assessment of the model was conducted using NASA/JPL polarimetric SAR data from an urban area, showing improvement in better characterizing urban polarimetric backscattering
Keywords :
geophysical signal processing; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; K-distribution model; backscattering; general matrix form; geophysical measurement technique; image texture variables; land surface; multi-look polarimetric SAR imagery; multilook polarimetric SAR; partially correlated K-distribution; product model; radar imaging; radar polarimetry; radar remote sensing; statistical properties; terrain mapping; urban area; Backscatter; Covariance matrix; Crops; Layout; Partial response channels; Polarization; Radar scattering; Random variables; Speckle; Urban areas;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516244