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
收藏
页码：523 / 527
页数：5
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