DocumentCode :
1882775
Title :
Four-component scattering power decomposition using coherency matrix
Author :
Yamaguchi, Yoshio
Author_Institution :
Niigata Univ., Niigata, Japan
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1044
Lastpage :
1047
Abstract :
In this tutorial presentation, model-based scattering power decompositions for fully polarimetric SAR data analysis are reviewed, and a relevant four-component scattering power decomposition scheme is presented. Although the method is still not perfect, it provides us with intuitive imaging results by RGB color-coding based on the physical scattering mechanisms. By using a rotation of the coherency matrix to minimize the cross-polarized component, the result of the four-component decomposition becomes more significant with simple and easy calculation. It is shown that oriented urban areas or man-made structures are clearly distinguished from volume scattering as double bounce objects.
Keywords :
image colour analysis; radar imaging; synthetic aperture radar; RGB color coding; coherency matrix; double bounce objects; four component scattering power decomposition; intuitive imaging; physical scattering; polarimetric SAR data analysis; volume scattering; Covariance matrix; Imaging; Matrix converters; Matrix decomposition; Radar imaging; Scattering; polarimetry; scattering power decomposition;
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.2011.6049374
Filename :
6049374
Link To Document :
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