Sparsity promoting iterated constrained endmember detection in hyperspectral imagery

被引：127

作者：

Zare, Alina ^{[1
]}

Gader, Paul ^{[1
]}

机构：

[1] Univ Florida, Dept Comp Sci & Informat Engn, Gainesville, FL 32611 USA

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2007年 / 4卷 / 03期

关键词：

endmember; hyperspectral imagery; sparsity promotion;

D O I：

10.1109/LGRS.2007.895727

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

An extension of the iterated constrained endmember (ICE) algorithm that incorporates sparsity-promoting priors to find the correct number of endmembers is presented. In addition to solving for endmembers and endmember fractional maps, this algorithm attempts to autonomously determine the number of endmembers that are required for a particular scene. The number of endmembers is found by adding a sparsity-promoting term to ICE's objective function.

引用

页码：446 / 450

页数：5

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