PENG Chao, WEI Xueyun. Coastline Segmentation of SAR Image Based on Super-pixel Merging[J]. Electronics Optics & Control, 2019, 26(11): 11
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Due to the inherent speckle noise of SAR image and the influence of complicated terrain at the sea-land boundary, it is easy to incorrectly extract the coastline of SAR image by using the region merging method. In order to solve the problem of incorrect segmentation caused by a single scale, an algorithm for coastline segmentation of SAR image based on SLIC super-pixel is proposed.Super-pixel segmentation is used to preprocess the image at first.Then, the improved merging cost based on spectral and texture information (CT-Model) is used to merge, and finally the segmentation results are obtained. The coastline at the sea-land boundary is used for the comparison of segmentation effects. The experimental results show that the improved merging method is more accurate in coastline segmentation than the spectral-histogram method.