Improved Process for Use of a Simplex Growing Algorithm for Endmember Extraction

被引：28

作者：

Wu, Chao-Cheng ^{[1
]}

Lo, Chien Shun ^{[2
]}

Chang, Chein-I ^{[1
,3
]}

机构：

[1] Univ Maryland Baltimore Cty, Dept Comp Sci & Elect Engn, Baltimore, MD 21250 USA

[2] Natl Formosa Univ, Dept Multimedia Design, Yunlin 632, Taiwan

[3] Natl Chung Hsing Univ, Dept Elect Engn, Taichung 402, Taiwan

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2009年 / 6卷 / 03期

关键词：

Endmember extraction; signature subspace estimate (SSE); simplex growing algorithm (SGA); vertex component analysis (VCA); virtual dimensionality (VD); HYPERSPECTRAL DATA;

D O I：

10.1109/LGRS.2009.2016223

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：

A recent paper by Chang et al. develops a new algorithm, called the simplex growing algorithm, which has shown promise in endmember extraction. There is an erroneous description made for one of synthetic image experiments. While making a simple correction would have sufficed, a series of studies has led to interesting and intriguing results on how to determine an appropriate number of endmembers p, how to design a better endmember extraction algorithm, and how to use an effective technique to perform dimensionality reduction.

引用

页码：523 / 527

页数：5

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