%0 Journal Article
%T A Neural Network Method of Selective Endmember for Pixel Unmixing<br>一种端元变化的神经网络混合像元分解方法
%A WU Ke
%A ZHANG Liang-pei
%A LI Ping-xiang
%A <br>吴柯
%A 张良培
%A 李平湘
%J 遥感学报
%D 2007
%I 
%X Remote sensing images contain a lot of mixed image pixels,but it is difficult to classify these pixels.If the number of pixel's endmember is regarded as unchangeable,the traditional pixel unmixing algorithm cannot get a good result.In this paper we develop a new method of selective endmembers for pixel unmixing based on the fuzzy ARTMAP neural network,which firstly compares the pixel's spectral to the conference one and then gets the number of endmember.When it is taken into account,we use an ARTMAP neural network to extract subpixel information.Finally,the experimental results show that the selective endmember algorithm has been improved over conventional ANN algorithms and conventional linear algorithms.
%K Fuzzy ARTMAP<br>混合像元
%K 端元变化
%K 线性模型
%K 神经网络
%K 影像分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=280AD2BFC53725FF&yid=A732AF04DDA03BB3&vid=708DD6B15D2464E8&iid=CA4FD0336C81A37A&sid=A04140E723CB732E&eid=96C778EE049EE47D&journal_id=1007-4619&journal_name=遥感学报&referenced_num=1&reference_num=14