Polarimetric image classification using optimal decomposition of radar polarization signatures

Author

Dong, Yunhan ; Forster, Bruce ; Ticehurst, Catherine

Author_Institution

Sch. of Geomatic Eng., New South Wales Univ., Sydney, NSW, Australia

Volume

3

fYear

1996

fDate

27-31 May 1996

Firstpage

1556

Abstract

The technique of weighted least squares (WLS) is used to obtain the optimal decomposition of radar polarization signatures, in which, backscatter is assumed to consist of odd, double, Bragg and cross scattering mechanisms. The results of the decomposition agree with our understanding of radar backscatter, providing information for polarimetric image classification

Keywords

backscatter; electromagnetic wave polarisation; electromagnetic wave scattering; image classification; least squares approximations; optimisation; radar cross-sections; radar imaging; radar polarimetry; Bragg scattering; cross scattering; double scattering; odd scattering; optimal decomposition; polarimetric image classification; radar backscatter; radar polarization signatures; weighted least squares; Backscatter; Image classification; Matrix decomposition; Polarization; Radar imaging; Radar measurements; Radar polarimetry; Radar scattering; Sea surface; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1996.516729

Filename

516729