摘要
利用CityGML3.0对传统民居建筑进行三维建模时,在空间层次细节表达与关联属性方面存在一定程度的不匹配。本文针对传统民居建筑的特点,把CityGML3.0标准的LOD4层语义模型扩展为LOD16层语义分类模型,以增强对建筑部件细节的描述,并借助CGA语义规则实现中国传统民居的高精度语义分类建模。以湖南省衡阳市常宁市庙前镇中田村的一栋传统民居为实验,验证了扩展的LOD16层模型在传统民居三维实体语义建模应用的效果。结果表明本文所提出的LOD16语义模型建模过程高效、便捷、代码重复率高,且细节分类可以无限延伸,层次之间具有可追溯性,一定程度上解决了传统建筑三维建模过程中语义缺失的问题。
It can be observed that there are some mismatch relationships between its spatial level details and associated attributes in a 3D modeling of traditional residential buildings with the CityGML3.0 platform.By introducing the CityGML3.0 to describe semantic features,this paper extends the 4 level of details(LOD)to LOD 16 by proposing detail classification methods at macro and micro scales for modeling the complex details in the Chinese traditional residential buildings.Finally,the LOD 16 multi-scale semantic classification modeling of traditional Chinese dwellings were realized with the help of CGA semantic rules.A case study for the traditional residential building located in Zhongtian Village,Henyang City,Hunan Province was modeled to validate the effectiveness of the extended model,and the experiment demonstrates that the modeling process is efficient and convenient and the code repetition rate is high.Moreover,the detail classification can be infinitely extended with traceability between levels.Therefore,this method solved the problem of semantic mismatch to some extent in the process of 3D modeling of traditional buildings.
作者
周俊国
刘媛
张金牡
ZHOU Junguo;LIU Yuan;ZHANG Jinmu(Office of Infrastructure Management,Jiangxi Normal University,Nanchang 330022,China;School of Geography and Environment,Jiangxi Normal University,Nanchang 330022,China)
出处
《南昌工程学院学报》
CAS
2023年第4期57-60,110,共5页
Journal of Nanchang Institute of Technology
基金
国家地方联合工程实验室开放基金项目(2021HSKFJJ015)。
