Target Detection Approach for Hyperspectral Imagery Based on Independent Component Analysis and Local Singularity

In this paper, a target detection method for hyperspectral images is proposed. The main advantage of this algorithm is to combine independent component analysis (ICA) and local singularity (LS) to make full use of the high order statistics of hyperspectral images. Comparing the ICA model and the linear spectral mixing model (LSMM), the mixing matrix… CONTINUE READING