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

Auto-Construction of 3D Colsed Buildings from CityGML LoD3

  • 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.
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