A New Method of SAR Image Segmentation Based on the Gray Level Co-Occurrence Matrix and Fuzzy Neural Network

For the speckle consisted in Synthetic Aperture Radar (SAR) image,good result of SAR image segmentation can not be gotten with traditional methods. In this paper, a new method of SAR image segmentation is proposed with the combination of fuzzy neural network and the statistical feature of SAR image. Firstly, texture features of SAR image are extracted with gray level co-occurrence matrix, then SAR image is filtered according to its distribution characteristics in the wavelet domain. Finally, SAR image is segmented according to the vector composed of texture features and gray level of filtered SAR image with fuzzy neural network. The experiment results show that the new method is efficient in SAR image segmentation.