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