利用CityGML模型自动构建三维封闭建筑体

应申, 郭仁忠, 靳凤攒, 朱利平, 李威阳

应申, 郭仁忠, 靳凤攒, 朱利平, 李威阳. 利用CityGML模型自动构建三维封闭建筑体[J]. 武汉大学学报 ( 信息科学版), 2018, 43(5): 732-738. DOI: 10.13203/j.whugis20150556
引用本文: 应申, 郭仁忠, 靳凤攒, 朱利平, 李威阳. 利用CityGML模型自动构建三维封闭建筑体[J]. 武汉大学学报 ( 信息科学版), 2018, 43(5): 732-738. DOI: 10.13203/j.whugis20150556
YING Shen, GUO Renzhong, JIN Fengzan, ZHU Liping, LI Weiyang. Auto-Construction of 3D Colsed Buildings from CityGML LoD3[J]. Geomatics and Information Science of Wuhan University, 2018, 43(5): 732-738. DOI: 10.13203/j.whugis20150556
Citation: YING Shen, GUO Renzhong, JIN Fengzan, ZHU Liping, LI Weiyang. Auto-Construction of 3D Colsed Buildings from CityGML LoD3[J]. Geomatics and Information Science of Wuhan University, 2018, 43(5): 732-738. DOI: 10.13203/j.whugis20150556

利用CityGML模型自动构建三维封闭建筑体

基金项目: 

国家自然科学基金 41671381

国家自然科学基金 41371369

国家自然科学基金 41531177

“十三五”国家重点研发计划 2016YFF0201300

“十三五”国家重点研发计划 2017YFB0503500

湖北省自然科学基金 2017CFA050

国土资源部城市土地资源监测与仿真重点实验室开放基金 KF-2016-02-016

详细信息
    作者简介:

    应申, 博士, 教授, 主要从事地图学、3DGIS和三维地籍研究。shy@whu.edu.cn

  • 中图分类号: P208

Auto-Construction of 3D Colsed Buildings from CityGML LoD3

Funds: 

The National Natural Science Foundation of China 41671381

The National Natural Science Foundation of China 41371369

The National Natural Science Foundation of China 41531177

the National Key R&D Program of China During the "13rd Five-Year Plan" 2016YFF0201300

the National Key R&D Program of China During the "13rd Five-Year Plan" 2017YFB0503500

the Natural Science Foundation of Hubei Province 2017CFA050

the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Land and Resources of China KF-2016-02-016

More Information
    Author Bio:

    YING Shen, PhD, professor, specializes in cartography, 3D GIS and 3D cadastre. E-mail:shy@whu.edu.cn

  • 摘要: 给出了利用CityGML模型自动构建三维封闭建筑体的基本框架和流程。充分利用已有的CityGML数据,分析其与三维封闭建筑体的语义关联和差别,奠定利用CityGML构建三维封闭建筑体的理论基础;从构建三维封闭建筑体所需几何数据出发,根据语义关联从CityGML中提取相应的几何数据,构建符合三维封闭建筑体要求的几何对象,满足三维立体规划和审批、核查的空间数据需要,进而弥补传统地籍数据采集方式的不足。
    Abstract: The development of 3D space planning and management strongly require 3D data to support volumetric representation of 3D space. This paper aims to construct 3D closed building from building information with CityGML LoD3 data and provides the framework and workflow that how to transform and construct 3D closed buildings from CityGML LoD3 data step by step. The semantic objects between 3D property unit and building information are quite different and the 3D space they describe and represent are thorough different. According to the requirement of the geometry of 3D cadastral objects, semantic relationships and object correspondences between CityGML LoD3 and 3D closed building are calibrated. Based on these, the paper gives the methods to extract the geometry data from CityGML and recombines the data to enclose the 3D closed building that satisfy certain 3D geometric rules. The approach in this paper develops a space transformation idea way to construction 3D property unit from building information and can make up the deficiency of the traditional acquisition methods for 3D cadastre.
  • 图  1   基于语义关联提取CityGML几何数据(LoD2、LoD3)

    Figure  1.   Extract Geometry Objects from CityGML Based on Semantic Relationship

    图  2   拓扑处理与几何转换流程图

    Figure  2.   Flowchart of Topology Processing and Geometric Transformation

    图  3   外部墙提取流程图

    Figure  3.   Flowchart of Extracting Outside Wall

    图  4   三维几何体有效性验证和修复过程示意图

    Figure  4.   Diagram of Repairing 3D Geometry

    图  5   转换前后对比图

    Figure  5.   Comparison Between CityGML Data and 3D Closed Builds

    表  1   三维封闭建筑体对CityGML语义对象需求关联关系

    Table  1   Relationship Between 3D Closed Building Body and CityGML Semantic Objects

    CityGML对象 LoD3
    CeilingSurface
    ClosureSurface
    Door
    FloorSurface ×
    GroundSurface
    BuildingInstallation ×
    InteriorWallSurface ×
    OuterCeilingSurface
    OuterFloorSurface
    RoofSurface
    WallSurface
    Window
    除建筑物以外的对象 ×
    下载: 导出CSV

    表  2   实验数据转换前后数据对比

    Table  2   Comparison of Before and After Transformation with Case Study

    输入输出 数量
    输入数据墙体个数 1 346
    输入数据屋顶个数 390
    输入数据门的个数 11
    输入数据窗户个数 190
    输入数据的总面片数 27 601
    输出封闭三维建筑体的个数 167
    输出三维体的总面片数 2 019
    下载: 导出CSV

    表  3   单个建筑转换前后数据对比

    Table  3   Comparison of Before and After Transformation of a Single Building

    输入输出 数量
    输入数据墙体个数 7
    输入数据屋顶个数 1
    输入数据门的个数 2
    输入数据窗户个数 16
    输入数据的面片数 1 656
    输出封闭三维建筑体的个数 1
    输出数据的面片数 12
    下载: 导出CSV
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  • 收稿日期:  2016-05-02
  • 发布日期:  2018-05-04

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