关键词: 变化检测, SAR图像, 模糊聚类, 空间邻域信息

Abstract: Change detection for SAR image can be achieved by clustering the difference image. Since SAR image can be interfered by speckle noise, thereby the change detection effect is affected. A method based on fuzzy clustering with spatial neighborhood information is proposed in this paper to improve clustering accuracy. According to the characteristics of the log-ratiomethod and the mean-ratio method, a new method is proposed to construct the difference image. This paper improves the traditional fuzzy clustering algorithm combined with the spatial neighborhood information of pixel to achieve change detection for SAR image. Compared with the traditional threshold algorithm, fuzzy C-means algorithm and fuzzy local information C-means algorithm, the experiments show that the proposed algorithm has high detection accuracy. It not only can effectively suppress the influence of noise, but also effectively retain the details of the image.

Key words: change detection, SAR image, fuzzy clustering, spatial neighborhood information