An Efficient Method Of Sar Image Segmentation Based On Texture Feature

For the existence of speckle in SAR (Synthetic Aperture Radar) image, it is very difficult to obtain good segmentation result with traditional methods. In this paper, an efficient method of SAR image segmentation is proposed with the combination of the features of SAR image and multi-resolution analysis of wavelet. First, texture features of SAR image are abstracted in wavelet domain. Second, SAR image is filtered according to the feature of its distribution in the wavelet domain. At last, with Fuzzy C-Means clustering technique (FCM), SAR image is segmented according to the vectors composed by wavelet texture features and grayscale of SAR image filtered. The experiment results show that the proposed method is efficient in SAR image segmentation.