中文摘要：

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。

英文摘要：

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.