A new non-negative matrix factorization method based on barycentric coordinates for endmember extraction in hyperspectral remote sensing

被引：10
|
作者：
Ji, Luyan [1 ]
Geng, Xiurui [1 ]
Yu, Kai [1 ]
Zhao, Yongchao [1 ]
机构：
[1] Chinese Acad Sci, Inst Elect, Key Lab Technol Geospatial Informat Proc & Applic, Beijing 100190, Peoples R China
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2013年 / 34卷 / 19期
基金：
中国国家自然科学基金;
关键词：
SIMPLEX;
D O I：
10.1080/01431161.2013.804223
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this study, we present a new non-negative matrix factorization (NMF) method using the pixel's barycentric coordinates for endmember extraction, named BC-NMF. Our method applies the geometrical property of simplex in the calculation of abundance fraction. That is, for any pixel in an image, its abundance fractions are its barycentric coordinates within the endmember coordinate system. Experiments using both simulated and real hyperspectral images show that BC-NMF can generate endmembers with higher accuracy and lower computational complexity than NMF.
引用
收藏
页码：6577 / 6586
页数：10
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