Sea-land segmentation is of great significance for improving the accuracy of SAR target ship detection.Aiming at the fact that the traditional algorithm can not carry out high-quality sea-landsegmentation for the SAR image, this paper proposes a segmentation algorithm based on the improved SLIC superpixel partitioning and the Hierarchical Area Combination Criterion (HSWO).According to the statistical characteristics of SAR images, the SLIC and HSWO algorithm models are improved respectively at first.Then, the SLIC algorithm is used to segment the superpixels in the image, and the superpixel blocks are clustered according to the merging rules of the hierarchical regions.Finally, the segmentation between sea and land is implemented.Experiments show that the improved model proposed here has higher processing precision and efficiency.Compared with other algorithms, it is more suitable for the sea-land segmentation of SAR images and has certain engineering application value.