无线电工程2016，Vol.46Issue(11)：26-29,46,5.DOI:10.3969/j.issn.1003-3106.2016.11.07
基于Gram行列式的快速端元提取方法
A New Endmember Extraction Method Based on Gram Determinant
摘要
Abstract
The endmember extraction methods for hyperspectral imagery generally involve the computation of simplex volume in high⁃dimension space.The employment of volume without dimensionality reduction though avoids the information loss,suffers from high computational complexity.This paper puts forward a new endmember extraction method based on Gram determinant which is expected to relieve the efficiency issue.The algorithm does not involve the computation of the volumes,instead,it uses the recurrence relationship of volumes which greatly reduces the computational complexity. The experiments on simulated and real datasets verify the accuracy and efficiency of the proposed method.关键词
高光谱图像/端元提取/单形体/线性混合模型/Gram行列式Key words
hyperspectral imagery/endmember extraction/simplex/LMM/Gram determinant分类
信息技术与安全科学引用本文复制引用
孙康,帅通,陈金勇..基于Gram行列式的快速端元提取方法[J].无线电工程,2016,46(11):26-29,46,5.基金项目
中国博士后科学基金资助项目（2015M580217）；河北省博士后科学基金资助项目（ B2015005003）。 （）
