高分辨率SAR图像道路提取综述  

Review of Road Extraction for High-resolution SAR Images

作　　者：周岳勇 程江华[1] 刘通[1] 王洋 陈明辉 ZHOU Yue-yong;CHENG Jiang-hua;LIU Tong;WANG Yang;CHEN Ming-hui(College of Electronics Science,National University of Defense Technology,Changsha 410073,China;Rocket Force in Changsha Area Military Representative Department,Changsha 410073,China)

机构地区：[1]国防科技大学电子科学学院,长沙410073 [2]火箭军驻长沙地区军事代表室,长沙410073

出　　处：《计算机科学》2020年第1期124-135,共12页Computer Science

基　　金：湖南省自然科学基金(2017JJ2337)~~

摘　　要：在遥感领域,SAR(Synthetic Aperture Radar,SAR)图像道路提取具有很高的研究意义和应用价值,特别是随着SAR成像技术的不断发展、SAR图像分辨率的逐步提高,该课题的研究更加备受关注。然而,从目前的情况看,高分辨率SAR图像的道路提取研究还不够完善,许多低分辨率SAR图像的道路提取方法在处理高分辨图像时并不适用,因此文中归纳总结了高分辨率SAR图像道路提取的一般流程,列举了一些具体的方法,同时有针对性地分析其优缺点和适用范围,指出该研究课题目前存在的主要问题,并展望其发展趋势。In the field of remote sensing,road extraction for Synthetic Aperture Radar(SAR)images has high research significance and application values.Especially with the continuous development of SAR imaging technology and the gradual improvement of SAR image resolution,the researches on this subject attract much attention.However,from the current situation,the researches on road extraction for high-resolution SAR images are not systematic enough.Many road extraction methods for low-resolution SAR images are not suitable for high-resolution.Therefore,the general flow of road extraction for high-resolution SAR images was summarized,some specific methods were enumerated.At the same time,the advantages and disadvantages and application scopes were analyzed in a targeted manner,the main problems existing in the research topic were pointed out,and the development trends were forecasted.

关 键 词：合成孔径雷达图像 高分辨率 SAR图像边缘检测 SAR图像分割 道路提取 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]