The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XL-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 169–173, 2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 169–173, 2014

  23 Apr 2014

23 Apr 2014

NoSQL Based 3D City Model Management System

B. Mao1,2, L. Harrie3, J. Cao1,2, Z. Wu1, and J. Shen4 B. Mao et al.
  • 1Nanjing University of Finance and Economics, 210003 Nanjing, China
  • 2Nanjing University of Science and Technology, 210094, Nanjing, China
  • 3GIS-Centre, Department of Physical Geography and Ecosystems Science, Lund University, 223 62 Lund, Sweden
  • 4Nanjing Normal University, 210042, Nanjing, China

Keywords: 3D city model, NoSQL, data integration, multiple representation structure

Abstract. To manage increasingly complicated 3D city models, a framework based on NoSQL database is proposed in this paper. The framework supports import and export of 3D city model according to international standards such as CityGML, KML/COLLADA and X3D. We also suggest and implement 3D model analysis and visualization in the framework. For city model analysis, 3D geometry data and semantic information (such as name, height, area, price and so on) are stored and processed separately. We use a Map-Reduce method to deal with the 3D geometry data since it is more complex, while the semantic analysis is mainly based on database query operation. For visualization, a multiple 3D city representation structure CityTree is implemented within the framework to support dynamic LODs based on user viewpoint. Also, the proposed framework is easily extensible and supports geoindexes to speed up the querying. Our experimental results show that the proposed 3D city management system can efficiently fulfil the analysis and visualization requirements.