DocumentCode
3373469
Title
A new independent component analysis (ICA) method and its application to SAR images
Author
Zhang, Xiaohui ; Chen, C.H.
Author_Institution
Dept. of Electr. & Comput. Eng., Southeastern Massachusetts Univ., North Dartmouth, MA, USA
fYear
2001
fDate
2001
Firstpage
283
Lastpage
292
Abstract
A novel independent component analysis (ICA) method is proposed that makes use of higher order statistics. We name it joint cumulant ICA (JC-ICA) algorithm. It can be implemented efficiently by a neural network. Its application in synthetic aperture radar (SAR) is discussed. The results show its potential usage in image processing problems
Keywords
higher order statistics; image processing; neural nets; principal component analysis; synthetic aperture radar; ICA method; JC-ICA algorithm; SAR images; higher order statistics; image processing problems; independent component analysis; joint cumulant ICA; neural network; synthetic aperture radar; Application software; Data mining; Higher order statistics; Hyperspectral imaging; Hyperspectral sensors; Independent component analysis; Neural networks; Principal component analysis; Random variables; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks for Signal Processing XI, 2001. Proceedings of the 2001 IEEE Signal Processing Society Workshop
Conference_Location
North Falmouth, MA
ISSN
1089-3555
Print_ISBN
0-7803-7196-8
Type
conf
DOI
10.1109/NNSP.2001.943133
Filename
943133
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