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《Remote Sensing Technology and Application》 2018-01
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Research Progress of Synthetic Aperture Radar Image Segmentation

Wan Ling;You Hongjian;Cheng Yuebing;Lu Xiaojun;University of Chinese Academy of Sciences;Institute of Electronics,Chinese Academy of Sciences;Key Laboratory of Technology in Geo-spatial Information Processing and Application System;Shanghai Eletro-Mechanical Engineering Institute;China International Engineering Consulting Corporation;  
Image segmentation is an indispensable part for synthetic aperture radar(SAR)image automatic interpretation.Segmentation results with high-quality are the guarantee of SAR image applications.In addition,owing to the development of SAR sensors,the segmentation task based on SAR image has been widely concerned in recent years.However,compared with the optical images,the unique properties of SAR images lead to great challenge in SAR image segmentation.With the development of pattern recognition,machine learning,remote sensing technology and other related techniques,SAR image segmentation has made great progress.This paper reviews the progress of SAR image segmentation,and then puts its emphasis on the summary of the widely used algorithms:FCM,MRF,statistical model,region information,level set,multi-scale and deep learning,etc.Finally,several viewpoints for the future research of SAR image segmentation are proposed.
【Fund】: 国家自然科学基金项目“顾及多特征的匹配与建筑物变化检测一体化处理研究”(41601402)
【CateGory Index】: TN957.52
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