%0 Journal Article
%T An Unsupervised Classification Algorithm for Hyperspectral Imagery<br>一种无监督高光谱图像分类算法
%A SHE Hong-wei
%A ZHANG Yan-ning
%A YUAN He-jin
%A <br>佘红伟
%A 张艳宁
%A 袁和金
%J 中国图象图形学报
%D 2008
%I 
%X In order to classify the data of Hyperspectral remote sensing images automatically without prior knowledge,an unsupervised classification algorithm is presented based on the conception of convex geometry and spectral features in this paper.The endmembers are selected step by step during processing and each endmember can be identified as one class.The advantages of this algorithm are simple in theory,easy to accomplish,widely used,and without any manual assistance.The experiment shows that the classifying result of this algorithm is satisfied.
%K hyperspectral image
%K unsupervised classification
%K endmember
%K conception of convex geometry<br>高光谱图像
%K 无监督分类
%K 端元
%K 凸面几何原理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=FC03C08AEE121B99D88F827EEE28DAA1&yid=67289AFF6305E306&vid=FC0714F8D2EB605D&iid=B31275AF3241DB2D&sid=D60A23E3DA48A028&eid=FB318F788ECEF1B2&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13