Application of Projection Pursuit Based on Dynamical Evolutionary Algorithm to Anomaly Target Detection in Hyperspectral Images

This paper introduces the methods of hyperspectral images band selection based on the property of Hyperspectral remote sensing images,utilizes the Projection Pursuit approach to find optimal solutions for a selected projection index based on dynamical evolutionary algorithm and then project a high dimensional data set into a low dimensional data space to produce a sequence of projection images,explores zero-detection method to threshold projection images to detect anomaly target.The experimental results show that the Projection Pursuit based on dynamical evolutionary approach is an effective means to detect anomaly target in hyperspectral images.