DocumentCode :
1798659
Title :
An improved three-component model-based decomposition for polarimetric SAR data
Author :
Bo Chen ; Licheng Jiao ; Shuang Zhang
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ. of China, Xidian Univ., Xi´an, China
fYear :
2014
fDate :
7-9 July 2014
Firstpage :
419
Lastpage :
422
Abstract :
An improved three-component model-based scattering decomposition method by implementing the new volume scattering model for the polarimetric SAR image is presented in this paper. The modified volume model which is suit for the target decomposition of PolSAR data is used in the proposed method aiming to reduce the emergence of negative powers in the Freeman decomposition. The experimental results of NASA/JPL AIRSAR L-band and CSA Radarsat-2 C-band data on San Francisco illustrate that the proposed method can effectively reduce the number of negative powers, which demonstrate the effectiveness of the proposed method on PolSAR data.
Keywords :
electromagnetic wave polarisation; electromagnetic wave scattering; radar imaging; radar polarimetry; CSA Radarsat-2 C-band; Freeman decomposition; NASA/JPL AIRSAR L-band; PolSAR data; San Francisco; polarimetric SAR data; polarimetric SAR image; three-component model-based scattering decomposition method; Data models; Entropy; Matrix decomposition; Remote sensing; Scattering; Solid modeling; Synthetic aperture radar; Polarimetric synthetic aperture radar (PolSAR); radar polarimetry; scattering power decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
Type :
conf
DOI :
10.1109/ICALIP.2014.7009828
Filename :
7009828
Link To Document :
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