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Abstract
Abstract. Over the last decades, building models have become valuable for a multitude of application scenarios, such as visualisation, simulations and decision support. As the growth of multi-source data consisting of semantic and 2D/3D spatial information, data management becomes feasibility means for facilitating the development and deployment of building model applications. In addition, most studies focus on modelling buildings at geometric level, while semantic analysis can become a promising approach to get a better understanding of built environment. How to utilize multi-source data in a joint manner to further express the building model, therefore, is an emerging challenge. In this paper, we develop a semantic 3D building model based on complex multi-source data. Then, we tackle data management and analysis problems in a geo-database solution for our unified building model. Performance studies on the University of New South Wales (UNSW) campus demonstrate the efficiency of our solution.
Highlights
Due to the strong expressive power of visual building model, many real-world regions model 3D geometry and graphical characteristics, as well as spatial and semantic interrelationships as a semantic 3D building model
This paper presents a geo-database solution for the management and analysis of building models based on multi-source data fusion
According to the high-level conceptual design for unified building model in Section 3.1, we develop our specific 3D building model for University of New South Wales (UNSW) campus based on the elements we have
Summary
Due to the strong expressive power of visual building model, many real-world regions model 3D geometry and graphical characteristics, as well as spatial and semantic interrelationships as a semantic 3D building model. 3D geo-database is a prominent field to support data fusion, semantic explorations and spatial analysis in order to get better understanding of built environment. This paper presents a geo-database solution for the management and analysis of building models based on multi-source data fusion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W20, 2019 ISPRS and GEO Workshop on Geospatially-enabled SDGs Monitoring for the 2030 Agenda, 19–20 November 2019, Changsha, China considering multi-source data fusion for the sake of improving the ability of expression of same built environment from multiple perspectives. The rest of this paper is structured as follows: Section 2 gives a brief retrospect to the data fusion and geo-database research. The last section draws the conclusions about the presented work and outlines the relevant aspects of our future research and developments tasks
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