%0 Journal Article
%T Endmember Determination in Hyperspectral Data<br>高光谱图像中纯光谱提取方法
%A Lv QunBo
%A Xiang LiBin
%A Xue Bin
%A Zhou JinSong
%A <br>吕群波
%A 相里斌
%A 薛彬
%A 周锦松
%J 光子学报
%D 2005
%I 
%X The analysis of hyperspectral data using linear unmixing requires the determination of endmembers consisting in hyperspectral data.All endmember determination methods at present need complex calculation and can not be proved universal for all the hyperspectral data.According to the effective analysis of the information presented in hyperspectral data,a new method based on feature space analysis and spectral correlation mapping(FSASCM) was proposed.The method mentioned is simple and universal for almost all the hyperspectral data.
%K Endmember
%K Hyperspectral data
%K Unmixing
%K Feature space
%K Spectral correlation mapping<br>纯光谱
%K 高光谱图像
%K 解混合
%K 特征空间
%K 光谱相关制图法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=9F6139E34DAA109F9C104697BF49FC39&aid=959C8C48AC148B55&yid=2DD7160C83D0ACED&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=F4C7ED9FD9D7FC69&eid=59D5B0EDB2D8DABC&journal_id=1004-4213&journal_name=光子学报&referenced_num=10&reference_num=18