DocumentCode
2043632
Title
Independent Component Analysis of POLSAR Images. Relative Newton-Based Approach
Author
Chitroub, Salim ; Hachemi, Rafik
Author_Institution
Electron. & Comput. Sci. Fac., Signal & Image Process. Lab., Algiers
fYear
2007
fDate
24-27 Nov. 2007
Firstpage
684
Lastpage
687
Abstract
We propose here a new method for POLSAR image analysis. The method is based on a new PCA-ICA model in which the relative Newton-based approach for performing ICA is developed. The basic idea of ICA with relative Newton method consists in approximating the negentropy by taking account of the orthogonality constraint of the extracted components. This concept is recognized for its robustness and gives consequently very good theoretical results. The approach is well justified from the mathematical point of view. However, its implementation requires being more flexible because of the number of the estimated parameters. The purpose of this paper is to try to open new issues, in future research, in the concern of working out a new method for SAR image analysis that accumulate the advantages of the proposed method while avoiding its disadvantages.
Keywords
independent component analysis; parameter estimation; radar imaging; synthetic aperture radar; PCA-ICA model; POLSAR image analysis; estimated parameters; independent component analysis; negentropy; orthogonality constraint; relative Newton method; Computer science; Image analysis; Independent component analysis; Integrated circuit modeling; Integrated circuit noise; Laboratories; Newton method; Principal component analysis; Signal processing; Speckle; Feature extraction; Independent component analysis; Principal component analysis; Relative Newton method of optimization; Remote sensing; SAR images;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location
Dubai
Print_ISBN
978-1-4244-1235-8
Electronic_ISBN
978-1-4244-1236-5
Type
conf
DOI
10.1109/ICSPC.2007.4728411
Filename
4728411
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