Application of Project Pursuit in Hyperspectral Anomaly Detection
投影追踪方法在高光谱图像异常点检测中的应用

In this paper, a new method of hyperspectral anomaly detection based on project pursuit is presented. The Generalized Likelihood Ratio Test(GLRT) is used to establish a binary hypotheses detector and estimates the unknown parameters that represent the background in the detector from the image. Target information, the key parameter, is got by 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.