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Generating multi-level of details for three-dimensional building model using terrestrial laser scanning data

机译:使用地面激光扫描数据为三维建筑模型生成多级细节

摘要

Terrestrial Laser Scanner (TLS) has been used by various applications to measure three-dimensional (3D) objects. Developments in 3D modelling open the possibility to visualize the environment more fascinating. 3D city model, as a city representation, is an essential tools for many applications. City Geographic Markup Language (CityGML) has defined a standard for 3D building models in 3D city model at five different levels of detail (LOD) for enabling the flexibility in visualization. In this research, the advantages of TLS for generating point cloud of building details and the modelling process of point cloud were explored. Point cloud from TLS was used to generate a building model in multi-LOD. Themethodology in this research generatedLOD3, LOD2, and LOD1 from the same point cloud data. Results from this research were models in LOD3, LOD2, and LOD1 in surface models and also in Extensive Markup Language (XML) files. In the data validation, the Root Means Square Error (RMSE) for the LOD3 was 0.037 meter. Based on the CityGML requirement, minimum accuracy for LOD3 is 0.5 meter. The results show that TLS can be used to generate the multi-LODs.
机译:各种应用已使用地面激光扫描仪(TLS)来测量三维(3D)对象。 3D建模的发展为可视化更迷人的环境提供了可能性。 3D城市模型作为城市表示形式,对于许多应用程序都是必不可少的工具。城市地理标记语言(CityGML)为3D城市模型中的5种不同详细程度(LOD)定义了3D建筑模型标准,以实现可视化的灵活性。本研究探讨了TLS在生成建筑细节点云中的优势以及点云的建模过程。 TLS中的点云用于在多LOD中生成构建模型。本研究中的方法从同一点云数据生成了LOD3,LOD2和LOD1。这项研究的结果是表面模型中的LOD3,LOD2和LOD1中的模型,以及扩展标记语言(XML)文件中的模型。在数据验证中,LOD3的均方根误差(RMSE)为0.037米。根据CityGML要求,LOD3的最低精度为0.5米。结果表明,TLS可用于生成多LOD。

著录项

  • 作者

    Akmalia Rizka;

  • 作者单位
  • 年度 2014
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
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