高分辨率遥感影像中提取道路网方法综述  

Review on the Methods for Road Network Extraction from High Resolution Remote Sensing Images

作　　者：杨晓亮[1] 文贡坚[1] 

机构地区：[1]国防科学技术大学ATR重点实验室,湖南长沙410073

出　　处：《遥感技术与应用》2012年第3期465-471,共7页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(60872153)

摘　　要：高分辨率遥感影像中道路网的提取是智能地物提取和分析的重要方面。针对其特点,介绍了高分辨率遥感影像上道路网提取的基本思想和步骤,从提取要素层次的角度对现有的道路网提取方法进行了分析和综述,并指出当前高分辨率遥感影像道路网提取方法需要进一步解决的遮挡、地物特征类似、地物复杂等问题。展望了未来利用高层次知识、图像融合技术、三维信息等高效提取道路网的可行性。Road network extraction from high resolution remote sensing images is an important problem in ground object auto-extraction.In this paper,the theory and the procedure of road network extraction from high resolution remote sensing images were firstly introduced.Then the representative methods of road network extraction were analyzed and classified from the view of elements level.Finally,the difficulties of the road network extraction are pointed out and the prospect of this field is forecasted.

关 键 词：高分辨率 遥感影像 道路网提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]