DocumentCode :
1901040
Title :
4-Component Scattering Power Decomposition with phase rotation of coherency matrix
Author :
Singh, Gulab ; Yamaguchi, Yoshio ; Park, S.-E.
Author_Institution :
Niigata Univ., Niigata, Japan
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
4103
Lastpage :
4106
Abstract :
This investigation presents an improved methodology for decomposing the fully polarimetric SAR data based on the 4-Component Scattering Power Decomposition (4-CSPD) scheme. Using a phase rotation of 3×3 coherency matrix and the minimization of phase rotated matrix element T33, 4-CSPD model has been applied on fully polarimetric SAR images. This new decomposition methodology shows accurate decomposition of fully polarimetric SAR data over oriented urban area and mountainous area as compared the original 4-CSPD model.
Keywords :
electromagnetic wave scattering; radar imaging; radar polarimetry; synthetic aperture radar; 4-CSPD scheme; 4-component scattering power decomposition scheme; coherency matrix; phase rotated matrix element T33 minimization; phase rotation; polarimetric SAR data; Image color analysis; Matrix decomposition; Radar polarimetry; Remote sensing; Scattering; Surface topography; ALOS-PALSAR; Phase rotation; Pi-SAR; coherency matrix; four component scattering power decomposition; polarimetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6050135
Filename :
6050135
Link To Document :
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