A new independent component analysis (ICA) method and its application to remote sensing images

被引：1
|
作者：
Zhang, XH [1 ]
Chen, CH [1 ]
机构：
[1] SE Massachusetts Univ, Dept Elect & Comp Engn, N Dartmouth, MA 02747 USA
来源：
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING VII | 2002年 / 4541卷
关键词：
D O I：
10.1117/12.454149
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this paper, a new independent component analysis (ICA) method is proposed that makes use of the higher order statistics. We name it joint cumulant ICA (JC-ICA) algorithm. It can be implemented efficiently by a neural network. Its applications in AVIRIS data and change detection are discussed. The results show the potential usage in image processing problems.
引用
收藏
页码：146 / 156
页数：11
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