The invention discloses an SAR image change detection method based on hyper pixel saliency analysis, for mainly solving the problem of low detection precision of the traditional technology. The scheme is as follows: 1) inputting images of the same scenes at two different moments to obtain a log ratio graph of the images; performing guide filtering on the log ratio graph to obtain a filtering graph; 2) performing hyper pixel segmentation on the filtering graph to obtain segmented graphs; 3) calculating the segmented graphs by using a saliency method to obtain saliency graphs; performing threshold processing on the saliency graphs, and combing the two images at different moments to obtain a differential graph; and 4) clustering the differential graph by using a fuzzy local information C mean clustering method to obtain a change graph. According to the SAR image change detection method, hyper pixel segmentation and guide filtering are imported, thereby not only reducing the noise of SAR images, but also effectively improving the accuracy of the SAR images by the obtained saliency graphs, and the SAR image change detection method can be used for detecting change areas.