摘要
同名道路要素匹配是道路网数据增量更新的核心问题。大比例尺下道路网不再是简单的单线节点结构,存在大量的多层车道和复杂立交,难以直接利用现有的道路匹配算法。针对这一情况,提出一种采用道路骨架线stroke的复杂道路匹配方法。在匹配前,首先对大比例尺复杂道路数据进行结构特征识别,利用Delaunay三角网生成复杂道路骨架线stroke,并存储骨架线stroke与原始数据结构特征的映射关系;最后利用骨架线stroke与小比例尺道路数据进行层次匹配和类型匹配,并将这种匹配关系转换为实际匹配结果。实验结果表明,该方法能够较好地解决不同比例尺下的复杂道路网匹配。
Matching of road elements with the same name is the core of incremental updating of road network data.The road network under the large scale is no longer a simple single-line node structure,with a large number of multi-layer lanes and complex interchanges,which makes it difficult to directly use the existing road matching algorithm.In view of this situation,a method for complex road matching based on road skeleton line stroke was proposed in this paper.Before matching,firstly the structural features of large-scale complex road data were identified,the complex road skeleton line stroke was generated by using the Delaunay triangulation,and the mapping relationship between the skeleton line stroke and the original data structure features were stored.The skeleton line stroke and the small-scale road data were used for hierarchical matching and type matching,and the matching relation was converted into the actual matching result.The experimental results show that the method can solve the complex road network matching better under different scales.
作者
王培
赵军喜
崔虎平
王玉晶
WANG Pei;ZHAO Junxi;CUI Huping;WANG Yujing(Information Engineering University,Zhengzhou 450001,China;School of Resources and Environment,Wuhan University,Wuhan 430079,China)
出处
《测绘科学技术学报》
北大核心
2019年第1期95-99,共5页
Journal of Geomatics Science and Technology
基金
国家重点研发计划项目(2016YFB0502300)
国家自然科学基金项目(41471336)
