Abstract
Abstract. Data model is the basis of all the functions of geographic information system. As the land use structure has become more and more complicated in cities, the traditional geometric model are not able to satisfy the increasing demands of precise urban form recognition and space management. Against the shortcomings, we propose to construct a multilevel semantic model for better description of the spatial composition of each building and the relationships among different buildings. Based on the 3D surface models constructed with photogrammetry and remote sensing methods, the semantic model is generated to depict the urban building space hierarchically, from stories, buildings, subareas to the entire city zone. On the one hand, to figure out the stories of each building, the geometric 3D model is segmented vertically with reference to the compositional structures and spatial distributions of the functional features on the surfaces. On the other hand, to determine the subareas of the city, the buildings are grouped into meaningful clusters according to their geometric shape characteristics. Experiments were conducted on a small district with both commercial and residential buildings, and the effectiveness of the proposed approach and usage of the semantic model were demonstrated.
Highlights
With the advances of IoT (Internet of Things), cloud computing, and big data technologies, Smart City construction has become one of the major municipal projects of cities
The traditional geometric models, which mainly serve for visualization purpose in various GIS (Geographic information systems) applications, do not work well in the complicated process of urban planning and management
We propose a feasible scheme to construct the semantic model for multilevel representations of the urban building space based on the geometric characteristics in 3D environment
Summary
With the advances of IoT (Internet of Things), cloud computing, and big data technologies, Smart City construction has become one of the major municipal projects of cities. The traditional geometric models, which mainly serve for visualization purpose in various GIS (Geographic information systems) applications, do not work well in the complicated process of urban planning and management. It is convenient to obtain the detailed semantic information of each single building from BIM (Benner et al 2005, Isikdag & Zlatanova 2009), there are great difficulties to put the semantic models into practical use due to the incomplete design records of architectures and the privacy protection of construction firms. We propose a feasible scheme to construct the semantic model for multilevel representations of the urban building space based on the geometric characteristics in 3D environment. From the geometric model construction to the semantic description, the urban building space is depicted hierarchically from stories, buildings, subareas to the entire city zone.
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