A comparative study for orthogonal subspace projection and constrained energy minimization

被引：124

作者：

Du, Q ^{[1
]}

Ren, H

Chang, CI

机构：

[1] Texas A&M Univ, Dept Elect Engn & Comp Sci, Kingsville, TX 78363 USA

[2] CNR, Washington, DC 20001 USA

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

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2003年 / 41卷 / 06期

关键词：

classification; constrained energy minimization (CEM); detection; hyperspectral imagery; orthogonal subspace projection (OSP);

D O I：

10.1109/TGRS.2003.813704

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：

In this letter, we conduct a comparative study and investigate the relationship between two well-known techniques in hyperspectral image detection and classification: orthogonal subspace projection (OSP) and constrained energy minimization (CEM). It is shown that they are closely related and essentially equivalent provided that the noise is white with large SNR. Based on this relationship, the performance of OSP can be improved via data-whitening and noise-whitening processes.

引用

页码：1525 / 1529

页数：5

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