%0 Journal Article
%T The development and comparison of endmember extraction algorithms using hyperspectral imagery<br>高光谱图像端元提取算法研究进展与比较
%A LI Ersen
%A ZHU Shulong
%A ZHOU Xiaoming
%A YU Wenjie
%A <br>李二森
%A 朱述龙
%A 周晓明
%A 余文杰
%J 遥感学报
%D 2011
%I 
%X The mixels in the hypersepectral images not only infl uence the accuracy of target detection and classifi cation, but also greatly hinder the development of quantitative remote sensing. The typical endmember extraction algorithms now available are analyzed and summarized. These algorithms can be classifi ed into two types based on the hypothesis of the existence of the pure pixels: endmember identifi cation algorithm and endmember generation algorithm. Six endmember extraction algorithms, including N-FINDR, VCA, SGA, OSP, ICE and MVC-NMF, are introduced and compared using experimental data, which further show their advantages and disadvantages. With results of various methods, the future perspective is proposed for further study.
%K hyperspectral image
%K mixel
%K linear spectral mixing model
%K endmember<br>高光谱图像
%K 混合像元
%K 线性光谱混合模型
%K 端元
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=132EE59BB32962ABC773239A60339482&yid=9377ED8094509821&vid=23CCDDCD68FFCC2F&iid=E158A972A605785F&sid=00520952CD4BF212&eid=DC06EBDBAF4E06D3&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=0