In this paper, a land and water segmentation algorithm based on hybrid fuzzy is proposed for the segmentation of SAR images. The algorithm is based on the gray features of SAR images, and dynamic multi threshold maximum between-class variance (OTSU) method is used for SAR image rough segmentation. The gray mean value of each homogeneous region is used as the initial clustering center of the fuzzy C mean algorithm so as to get the classification result by clustering iteration. Finally, the connected region method is used to remove the small pixels in the neighborhood, thus achieving fine segmentation of land and water. The experiments on GRDH data of Sentinel-1A show that the method has a relatively good segmentation effect for the SAR images of land objects and inland water areas with more tributaries.
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2018, Vol. 30 
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