DocumentCode :
556984
Title :
4-CSPD with unitary transformation of coherency matrix
Author :
Singh, Gulab ; Yamaguchi, Yoshio ; Park, Sang-Eun
Author_Institution :
Grad. Sch. of Sci. & Technol., Niigata Univ., Niigata, Japan
fYear :
2011
fDate :
26-30 Sept. 2011
Firstpage :
1
Lastpage :
4
Abstract :
This investigation presents an alternative methodology for decomposing the fully polarimetric SAR (POLSAR) data based on the amendment of 4-component scattering power decomposition scheme. T23 is the source of 4th term (helix power) in the 4-CSPD. Using unitary transformations of 3×3 coherency matrix, coherency matrix element T23 was eliminated. Furthermore, 4-CSPD scheme was updated taking account of T23=0 to decompose POLSAR images. This new decomposition methodology shows similar or accurate decomposition results over oriented urban area and agriculture area in comparison to existing 4-CSPD scheme at present.
Keywords :
matrix algebra; radar imaging; radar polarimetry; synthetic aperture radar; 4-CSPD scheme; 4-component scattering power decomposition scheme; POLSAR data; POLSAR image decomposition; coherency matrix element; fully polarimetric SAR data decomposition; unitary transformations; Image color analysis; Matrix decomposition; Radar polarimetry; Remote sensing; Scattering; Surface topography; Urban areas; ALOS-PALSAR; Three-component scattering power decomposition; Unitary Transformation; coherency matrix; polarimetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4577-1351-4
Type :
conf
Filename :
6087039
Link To Document :
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