Title :
Lithological classification in mountain area with polarimetric decomposition
Author :
Wang CDuizhen ; Huadong, Guo ; Shao Yan
Author_Institution :
Lab. of Remote Sensing Inf. Sci., Acad. Sinica, Beijing, China
Abstract :
Polarimetric data can be used to extract physical and geometrical parameters of surface targets, and to decompose their scattering process into three independent parts: Single, double, and cross scattering. The combination of this information is very useful for lithological identification and classification. This paper uses SIR-C L- and C-band polarimetric data, and builds a multi-layer algorithm of lithological classification
Keywords :
backscatter; geology; geophysical techniques; radar cross-sections; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; C-band; L-band; SHF; SIR-C; UHF; cross scattering; double scattering; geology; geometrical parameters; geophysical measurement technique; land surface; lithological classification; lithological identification; lithology; microwave radar; mountain area; polarimetric decomposition; radar polarimetry; radar remote sensing; radar scattering; single scattering; terrain mapping; Backscatter; Classification algorithms; Data mining; Entropy; Light scattering; Radar scattering; Rough surfaces; Scattering parameters; Surface roughness; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.691403
