New independent component analysis method using higher order statistics with application to remote sensing images

被引：27
|
作者：
Zhang, XH [1 ]
Chen, CH [1 ]
机构：
[1] Univ Massachusetts, Dept Elect & Comp Engn, N Dartmouth, MA 02747 USA
来源：
OPTICAL ENGINEERING | 2002年 / 41卷 / 07期
关键词：
higher-order statistics; independent component analysis; penalty function; gradient descent; neural networks; remote sensing;
D O I：
10.1117/1.1482722
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A new independent component analysis (ICA) method is proposed and a new ICA algorithm making use of the higher order statistics is introduced accordingly. We call it the joint cumulant ICA (JC-ICA) algorithm. Its application in synthetic aperture radar (SAR) and airborne visible infrared imaging spectrometer (AVIRIS) images are discussed. The results show the potential usage in image processing problems. (C) 2002 Society of Photo-Optical Instrumentation Engineers.
引用
收藏
页码：1717 / 1728
页数：12
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