Application of Project Pursuit in Hyperspectral Anomaly Detection

Li Zhi-yong; Kuang Gang-yao; Zou Huan-xin

Volume 26 Issue 9

Sep. 2004

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Article Navigation > Journal of Electronics & Information Technology > 2004 > 26(9): 1474-1479

Li Zhi-yong, Kuang Gang-yao, Zou Huan-xin. Application of Project Pursuit in Hyperspectral Anomaly Detection[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1474-1479.

Citation:

Li Zhi-yong, Kuang Gang-yao, Zou Huan-xin. Application of Project Pursuit in Hyperspectral Anomaly Detection[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1474-1479.

Li Zhi-yong, Kuang Gang-yao, Zou Huan-xin. Application of Project Pursuit in Hyperspectral Anomaly Detection[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1474-1479.

Citation:

Li Zhi-yong, Kuang Gang-yao, Zou Huan-xin. Application of Project Pursuit in Hyperspectral Anomaly Detection[J]. Journal of Electronics & Information Technology, 2004, 26(9): 1474-1479.

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Application of Project Pursuit in Hyperspectral Anomaly Detection

Received Date: 2003-05-16
Rev Recd Date: 2003-09-22
Publish Date: 2004-09-19

Abstract

Abstract

In this paper, a new method of hyperspectral anomaly detection based u* project pursuit is presented. The Generalized Likelihood Ratio Test(GLRT) is used to estab-lish a binary hypotheses detector and estimates the unknown parameters that represent tit* background in the detector from the image. Target information, the key paxameter, is got h using project pursuit approach to search anomaly information. The algorithm reduces the dependence of pre-information, enhances the arithmetic practicability. At the same time, project pursuit approach can extract target information efficiently and improve the effect of anomaly detection.

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References(1)

References

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