The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-4/W20
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W20, 55–63, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W20-55-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W20, 55–63, 2019
https://doi.org/10.5194/isprs-archives-XLII-4-W20-55-2019

  15 Nov 2019

15 Nov 2019

A GEO-DATABASE SOLUTION FOR THE MANAGEMENT AND ANALYSIS OF BUILDING MODEL WITH MULTI-SOURCE DATA FUSION

W. Li, S. Zlatanova, J. J. Yan, A. Diakite, and M. Aleksandrov W. Li et al.
  • Faculty of the Built Environment, The University of New South Wales, NSW 2052, Australia

Keywords: Database, Built Environment, Data Management, Data Analysis, Data Fusion

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.