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首页> 外文期刊>Journal of geovisualization and spatial analysis >Graph-Based 3D Building Semantic Segmentation for Sustainability Analysis
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Graph-Based 3D Building Semantic Segmentation for Sustainability Analysis

机译：基于3 d建筑语义分割可持续性分析

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摘要

A graph-based method is proposed to segment the 3D building models into semantically independent components. For each building, we first create a graph (N, E) in which the nodes N represent the surface of the 3D building model and the edges E standard for the shared lines between two surface nodes. Then, the graph is simplified by aggregating the connected coplanar surfaces. Next, the articulation points of the simplified graph are detected and removed literality to segment the graph into biconnected components. The semantic attributes of each component are detected according to its geometry features and spatial relationship with others. Finally, the building components with semantic and geometry information are used to simulate the city sustainability process such as energy consumption. According to the experimental results, the proposed method can effectively extract the semantic data from the LoD3/LoD2 building models for sustainability simulation tools such as EnergyPlus.
机译：提出了一种基于方法部分3 d建筑模型在语义上独立组件。图(N, E)的节点N代表表面的三维建筑模型和边缘E标准共享两个表面之间的界线节点。聚合连接共面表面。接下来,简化的接合点图像检测和删除直译图分割成双连通分量。每个组件的语义属性根据其几何特性和检测与他人的空间关系。与语义和几何建立组件用于模拟城市的信息可持续性能源等过程消费。结果,该方法可以有效地提取的语义数据LoD3 / LoD2建立仿真模型的可持续性EnergyPlus等工具。

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