DocumentCode :
20784
Title :
An Adaptive General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix (AG4U)
Author :
Bhattacharya, Avik ; Singh, Gulab ; Manickam, Surendar ; Yamaguchi, Yoshio
Author_Institution :
Center of Studies in Resources Eng., Indian Inst. of Technol. Bombay, Mumbai, India
Volume :
12
Issue :
10
fYear :
2015
fDate :
Oct. 2015
Firstpage :
2110
Lastpage :
2114
Abstract :
An adaptive general four-component scattering power decomposition method (AG4U) is proposed in this letter. The degree of polarization mis used as a criterion for the adaptive nature of the proposed decomposition. In this method, one among the two complex special unitary transformation matrices is chosen to transform a real unitary rotated coherency matrix based on the largest value of m. This transformed matrix is then utilized for the existing Yamaguchi et al. four-component decomposition scheme with an extended volume scattering model. The proposed decomposition is applied to Radarsat-2 full-polarimetic C-band data over San Francisco and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) full-polarimetric L-band data over the Hayward Fault in California. The scattering powers estimated from the decomposition techniques of Yamaguchi et al. (Y4O), Singh et al. (G4U), and AG4U are compared. AG4U shows appreciable improvements in the scattering powers, particularly in urban areas oriented about the radar line of sight compared with the Y4O and G4U decompositions. It also shows reduced percentage of pixels with negative powers considerably compared with the Y4O decomposition.
Keywords :
S-matrix theory; faulting; geophysical signal processing; radar polarimetry; radar signal processing; synthetic aperture radar; AG4U; California; Hayward Fault; Radarsat-2 full-polarimetic C-band data; San Francisco; UAVSAR; Uninhabited Aerial Vehicle Synthetic Aperture Radar; adaptive general four-component scattering power decomposition; adaptive nature; complex special unitary transformation matrices; extended volume scattering model; full-polarimetric L-band data; polarization; radar line of sight; real unitary rotated coherency matrix; L-band; Matrix decomposition; Remote sensing; Scattering; Solid modeling; Synthetic aperture radar; Decomposition; polarimetry; synthetic aperture radar (SAR); unitary transformation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2451369
Filename :
7163560
Link To Document :
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