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
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