SAR图像道路网提取方法综述  

Review of road network extraction from SAR images

作　　者：程江华[1] 高贵[1] 库锡树[1] 孙即祥[1] 

机构地区：[1]国防科技大学电子科学与工程学院,长沙410073

出　　处：《中国图象图形学报》2013年第1期11-23,共13页Journal of Image and Graphics

基　　金：国家自然科学基金项目(41171316)

摘　　要：SAR图像道路网提取具有重要的遥感应用价值。20多年来,随着SAR成像技术的不断发展以及遥感应用的迫切需求,涌现出大量道路网提取方法。本文回顾了SAR图像道路网提取研究的发展历程,从道路提取流程阶段出发,将其分为局部检测和全局连接这两大步骤,在每个步骤中分析比较了现有算法的适用范围及相对优缺点,指出了当前研究中存在的问题,展望了SAR图像道路网提取的发展趋势。Road network extraction from SAR Images is an important application in the field of remote sensing. With the development of the SAR imaging technology and the urgent demands from remote sensing applications, many road-network extraction methods have been proposed in the recent twenty years. In this paper, we review the development of road extraction methods from SAR images. First, we classify the course of road extraction into two steps： local detection and global connection. Then, some local detection and global connection algorithms are discussed regarding their application fields and their advantages and disadvantages. Finally, the current problems are given and possible future work is explained.

关 键 词：合成孔径雷达图像 道路网 局部检测 全局连接 综述 

分 类 号：TP775[自动化与计算机技术—检测技术与自动化装置]