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| Application of Project Pursuit in Hyperspectral Anomaly Detection |
| Li Zhi-yong; Kuang Gang-yao; Zou Huan-xin |
| School of Electron. Sci. and Eng.,Nat. Univ. of Defense Tech., Changsha 410073 China |
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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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Received: 16 May 2003
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2004, Vol. 26 
