Segmentation method of remote sensed images based on principal component analysis and pulse coupled neural network

A segmentation method of remote sensed images based on principal component analysis and pulse coupled neural network is proposed.It presents principal component analysis on image based on neighborhood unions of per-pixel to obtain the eigenvector of per-pixel,then uses PCNN to set on fire to segment image with feature image.Experimental results have shown that compared with traditional method,the proposed method is stronger superiority in segmentation results、stablity and real time capability.