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

Volume

3

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1342

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.691403

Filename

691403