地图学与地理信息

小比例尺道路网眼约束下的多尺度道路网自动匹配

  • 裴洪星 ,
  • 翟仁健 ,
  • 武芳 ,
  • 李靖涵 ,
  • 巩现勇 ,
  • 吴铮
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  • 信息工程大学地理空间信息学院, 河南 郑州 450000
裴洪星(1991—),男,硕士,研究方向为多尺度表达与制图综合。E-mail:15638592360@163.com

收稿日期: 2016-09-29

  修回日期: 2017-04-06

  网络出版日期: 2017-06-28

基金资助

国家自然科学基金(411011362;414713869)

Automatic Matching of Multi-scale Road Networks under the Constraints of Smaller Scale Road Meshes

  • PEI Hongxing ,
  • ZHAI Renjian ,
  • WU Fang ,
  • LI Jinghan ,
  • GONG Xianyong ,
  • WU Zheng
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  • Institute of Geospatial Information, Information Engineering University, Zhengzhou 450000, China

Received date: 2016-09-29

  Revised date: 2017-04-06

  Online published: 2017-06-28

Supported by

The National Natural Science Foundation of China(Nos.411011362;414713869)

摘要

针对道路网多尺度匹配的问题,提出了一种在小比例尺数据道路网眼约束下的多尺度道路匹配方法。首先,构建两幅不同比例尺数据的道路网眼;其次,在小比例尺道路网眼的约束下,提取出大比例尺道路中由若干道路网眼构成的复合网眼,并完成与小比例尺道路网眼具有多对一和一对一关系的网眼匹配;然后,实现不同比例尺道路网眼的多对多匹配;最后,由复合网眼与小比例尺道路网眼的匹配关系转化为多比例尺道路网眼边界道路之间的匹配和内部道路之间的匹配,完成整个道路网的匹配。试验结果证明,本方法能较好地实现多尺度道路网的匹配。

本文引用格式

裴洪星 , 翟仁健 , 武芳 , 李靖涵 , 巩现勇 , 吴铮 . 小比例尺道路网眼约束下的多尺度道路网自动匹配[J]. 测绘学报, 2017 , 46(6) : 760 -769 . DOI: 10.11947/j.AGCS.2017.20160483

Abstract

A new method is proposed to achieve automatic matching for multi-scale roads under the constraints of the smaller scale data. Firstly, meshes should be extracted from the two different scales road data. Secondly, several basic meshes in the larger scale road network will be merged as a composite one, which will be matched with one mesh from the smaller scale road network, so that the meshes with many-to-one and one-to-one matching relationships will be matched. Thirdly, meshes from the two different scale road data with many-to-many matching relationships will be matched. Finally, road will be classified into two categories under the constraints of meshes: mesh border roads and mesh internal roads, and then matching will be done in their own categories according to the matching relationships between the two scales meshes. The results showed that roads from different scale will be more precisely matched.

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