Principle of small target detection for hyperspectral imagery

摘要

This paper generalizes the progress of algorithms in small target detection for hyperspectral imaging, and finds that whitening the image is the key point of many methods in small target detection. An algorithm is presented to detect desired targets by converting large targets into small ones based on the weighted sample autocorrelation matrix.