%0 Journal Article
%T Principal Component Extraction for Remote Sensing Image Using Auto-Association Neural Network<br>自联想神经网络的遥感图象主分量提取
%A WANG Yao-nan
%A XIE Yong
%A MAO Jian-xu
%A LI Shu-tao
%A <br>王耀南
%A 谢 勇
%A 毛建旭
%A 李树涛
%J 中国图象图形学报
%D 2000
%I 
%X A new method of principal component extraction for remote sensing image based on auto-association neural network is presented in this paper. The proposed method is applied to the image data compression, feature extraction and filtering. Experiments show that auto-association neural network for extracting the principal components of the image is as good as the conventional K-L transform.
%K Remote sensing
%K Neural network
%K Image compression<br>神经网络
%K 图象压缩
%K 遥感图象
%K 主分量提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=E8C4197B8BE9FA5A&yid=9806D0D4EAA9BED3&vid=94C357A881DFC066&iid=CA4FD0336C81A37A&sid=C5154311167311FE&eid=771469D9D58C34FF&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=0