%0 Journal Article
%T Cayley-Menger determinant based endmember extraction algorithm for hyperspectral unmixing<br>基于Cayley-Menger行列式的高光谱遥感图像端元提取方法
%A PU Hanye
%A WANG Bin
%A ZHANG Liming
%A <br>普晗晔
%A 王斌
%A 张立明
%J 红外与毫米波学报
%D 2012
%I Science Press
%X A fast Cayley Menger determinant based endmember extraction algorithm for hyperspectral unmixing was proposed. The algorithm is to find the simplex enclosing the hyperspectral data with minimum volume. It improves current simplex based algorithms in several aspects. The introduction of Cayley Menger determinant makes it easy to use features of Hermite matrix to accelerate the searching process and gives a stable result finally. Moreover, a dimensionality reduction transform is not necessary in this algorithm, which will avoid the loss of useful information during the dimensionality reduction. The experimental results on synthetic and real hyperspectral dataset demonstrated that the proposed algorithm is a fast and accurate algorithm for the hyperspectral unmixing.
%K Hyperspectral unmixing
%K Cayley-Menger determinant
%K Auxiliary height
%K Minimum volume
%K Simplex<br>高光谱解混，Cayley-Menger行列式，辅助高，最小体积，单形体
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=2C5AC4805BBB5B0E49CBA91A041FDCF2&yid=99E9153A83D4CB11&vid=4AD960B5AD2D111A&iid=38B194292C032A66&sid=FDC7AF55F77D8CD4&eid=B7BFA4B351E4C682&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=0&reference_num=14