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.