欢迎访问《图学学报》 分享到：
图学学报

图学学报 ›› 2022, Vol. 43 ›› Issue (1): 163-171.DOI: 10.11996/JG.j.2095-302X.2022010163

• 建筑与城市信息模型 • 上一篇    下一篇

建筑物多尺度三维语义建模研究

  

  1. 华中师范大学国家文化产业研究中心，湖北 武汉 430079
  • 出版日期:2022-02-28 发布日期:2022-02-16
  • 基金资助:
    国家自然科学基金项目(41801295)；国家文化和旅游科技创新工程项目(2019-008)；滇西北文化生态保护研究中心开放项目(WS201901001) 

Research on semantic 3D building modeling with multiple levels of detail

  1. National Research Center of Cultural Industries, Central China Normal University, Wuhan Hubei 430079, China
  • Online:2022-02-28 Published:2022-02-16
  • Supported by:
    National Natural Science Foundation of China (41801295); National Cultural and Tourism Science and Technology Innovation Project (2019-008); Open Foundation of Cultural and Ecological Protection Research Center in Northwest Yunnan (WS201901001)  

PDF (PC)

217

摘要： 针对现有的一些三维建模方法强调单一尺度几何模型构建，缺乏多细节层次(LoD)和语义信息表 达，互操作性不强等问题，以国际开放标准 CityGML 为基础，利用矢量拉伸、基于几何特征和规则的语义信 息提取、几何映射和语义映射等技术研究了建筑物多尺度几何语义一体化模型构建方法。采用开源 Cesium 库 开发了一套基于 WebGL 的建筑物多尺度三维模型可视化系统，通过某大学校园 CityGML LoD0-LoD4 等不同 尺度建筑物模型构建及可视化实验验证了该方法的有效性。提出的多尺度语义模型构建方法能够最大程度利用 现有二维矢量数据、三维几何模型和建筑信息模型(BIM)，并且生成的多尺度 CityGML 模型具有几何和语义一 体化特征，为建筑物三维模型的互操作、数据共享、空间分析和精细化管理等应用提供了解决方案。

关键词: 建筑物, 语义建模, CityGML, 细节层次, 建筑信息模型

Abstract: Most of the existing three-dimensional (3D) modeling methods focus on geometric model construction, which neglect the semantic representation and multiple levels of detail, making the outcomes difficult for data interoperability. To address these issues, this paper proposed a set of 3D modeling techniques to generate geometric and semantic coherent building models on the basis of city geography markup language (CityGML), an open international standard for 3D virtual data storage and exchange. Geometry extrusion, semantic information extraction based on geometry features and rules, geometric and semantic mapping were explored for generating CityGML models with multiple levels of detail. A WebGL-based 3D GIS platform was developed utilizing the open-source Cesium library, and CityGML building models with four levels of detail were presented on the case study of campus area of the Hong Kong Polytechnic University. Experimental results indicate that the proposed modeling approach is able to make full use of the existing 2D building footprints, 3D geometric models, and building information models, and that the generated CityGML models with geometric, semantic, topological and appearance characteristics can provide better solutions for various applications such as 3D building model interoperability, data sharing, spatial analysis, and fine management. 

Key words: building, semantic modeling, CityGML, levels of detail, building information model 

中图分类号: