SAR Image Superpixel Segmentation Based on Complexity Adaptive Threshold
MA Junfeng
WEI Hangcheng
ZHANG Beiming
LI Chenyang
Abstract：Synthetic aperture radar(SAR)is one of the main means to implement large-scale marine monitoring.In order to reduce the detection range,it is necessary to segment the SAR image from sea to land.According to the gray level characteristics of SAR images,this paper proposes a SLIC super pixel segmentation method for SAR images based on the adaptive threshold of image complexity.The variance between pixels is used as the judgment basis for the super pixel cluster center,and the variance threshold is adaptively adjusted according to the image complexity to reduce the number of sub domains for gradient calculation as much as possible.The results show that,compared with the traditional super pixel segmentation method,the algorithm based on the adaptive threshold of image complexity is significantly faster.
Keywords：super pixel segmentationadaptive thresholdvariance between pixels
Publication Date：2025-12-20
Online Publishing Date：2026-03-09(First online date of this platform, not the publication date of the document)
Pages：5( 3530-3533,3544 )