Research on Small Targets Extraction Based on ICA in Hyperspectral

This paper present a small targets detection approach based on independent component analysis in hyperspectral data.Firstly,this algorithm uses fast independent component analysis(FICA) approach to collect the targets information hided in the high-dimensional data and projects them into low-dimensional space.Secondly,selects feature images with kurtosis.At last,extracts small targets with histogram image segmentation method which has been labeled by skewness.