摘要
城市主干道路的识别和提取是路网综合的关键步骤,而双线道路则是大比例尺地图数据中道路综合的难点。针对城市双线主干道识别问题,基于Gestalt视觉准则构建候选双线主干道线对的约束条件,提出了一种基于平行系数的双线主干道识别方法。首先对道路网数据进行拓扑处理,然后借助道路匹配思想,结合Hausdorff(HD)距离匹配方法识别出可能构成双线主干道的候选线对。再对候选线对进行平行系数计算,当平行系数满足阈值条件时,就判定该线对是构成双线主干道的弧段。最后根据构成双线主干道路段间的空间关系,将已识别的弧段连接成整条道路。实验证明,选取典型样本方法正确设置阈值后,该方法能有效地提取道路网中的双线主干道。
Urban arterial roads recognition and extraction is an essential step in networks generalization,and the handling of two-lane roads is a problem in large scale map generalization.Aiming at urban arterial two-lane roads recognition,in this paper,constraints about candidate pairs of two-lane roads are built based on Gestalt principles,and a parallel factor-based method of arterial two-lane roads recognition is proposed.Firstly,a topology between the nodes and road edges is built.Secondly,the matching method of Hausdorff（HD）distance to recognize candidate pairs of two-lane road like roads matching is utilized.Thirdly,computing candidate pairs parallel factor,if the parallel factor satisfies the threshold condition,the pairs are sections of an arterial two-lane road.Finally,according to the spatial relationships,many recognized sections are connected into whole roads.Experiments show that this method can effectively extract arterial two-lane roads in the road network after setting the threshold value by selecting typical samples.
作者
张浩
武芳
巩现勇
许俊奎
张俊涛
ZHANG Hao WU Fang GONG Xianyong XU Junkui ZHANG Juntao(Institute of Geographical Spatial Information, Information Engineering University, Zhengzhou 450052, China Suzhou Indystril Park Geone Information Technology Co. Ltd. , Suzhou 215028, China Luoyang Electronic Equipment Test Center of China, Luoyang 471000, China Xi＇an Information Technology of Surveying and Mapping Terminus, Xi＇an 710000, China)
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2017年第8期1123-1130,共8页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金(41471386
41101362
41301524)
信息工程大学地理空间信息学院学位论文创新与创优基金(XS201509)~~
