基于道路矢量数据的路口地理实体面图元提取  

Geographic entity surface element extraction of intersections based on road vector data

作　　者：罗思 刘华光[1,2] 王逸文 申永伟 寇媛 LUO Si;LIU Huaguang;WANG Yiwen;SHEN Yongwei;KOU Yuan(The First Surveying and Mapping Institute of Hunan Province,Changsha,Hunan 410114,China;Hunan Engineering Research Center for Realistic 3D Construction and Application Technology,Changsha,Hunan 410114,China)

机构地区：[1]湖南省第一测绘院,湖南长沙410114 [2]实景三维建设与应用技术湖南省工程研究中心,湖南长沙410114

出　　处：《北京测绘》2024年第10期1487-1491,共5页Beijing Surveying and Mapping

基　　金：湖南省自然资源厅科研项目(2022-02)。

摘　　要：地理实体数据是实景三维数据中的重要组成部分,路口实体在城市实景三维中有着重要作用,当前路口实体面图元的提取是通过人工查找路口位置并在路口位置处手动构建路口面,这种提取方式容易漏掉路口位置且有人工编辑工作量较多的问题。为准确定位路口位置且在路口位置处高效构建路口面图元,本文设计了一种基于道路矢量数据的路口地理实体面图元的提取方法,通过对道路面数据构建不规则三角网,分析不规则三角网(TIN)在路口处的特点,准确定位出路口位置,并在路口处自动构建路口面图元。本文基于湖南省基础测绘道路矢量数据,对基于道路矢量数据的路口地理实体面图元提取方法的有效性进行验证,实验结果表明,该方法路口定位准确率达97.5%,路口面构建较为准确,可以有效缩短路口实体生产周期,研究结果可以应用于其他条带状交叉口实体类的定位和构建。Geographic entity data is an important part of three-dimensional(3D)real scene data,and intersection entity plays an important role in urban 3D real scenes.At present,the extraction of the entity surface element of the intersection is to manually locate the intersection and manually construct the intersection surface at the intersection position,but it is easy to miss the intersection,and there is a lot of manual editing work.In order to accurately locate the intersection and efficiently construct the intersection surface elements,this paper designed a method of extracting geographic entity surface elements of intersections based on road vector data.By constructing a triangulated irregular network(TIN)of road data and analyzing the characteristics of TIN at the intersection,the paper accurately located the intersection and automatically constructed the surface element of the intersection.The paper also verified the effectiveness of the proposed method based on the fundamental surveying&mapping road vector data in Hunan Province.The experimental results show that the accuracy of intersection located by this method reaches 97.5%,and the construction of the intersection surface is more accurate,which can effectively shorten the production cycle of the intersection entity,and the research results can be applied to the localization and construction of other strip intersection entity classes.

关 键 词：地理实体 不规则三角网(TIN) 道路矢量数据 面图元 

分 类 号：P208[天文地球—地图制图学与地理信息工程]