Title :
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
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;
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.1996.516729
