Lars Harrie
Professor
NOSQL based 3d city model management system
Author
Editor
- H. Zhang
- J. Jiang
Summary, in English
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.
Department/s
- Dept of Physical Geography and Ecosystem Science
- eSSENCE: The e-Science Collaboration
Publishing year
2014
Language
English
Publication/Series
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume
XL-4
Full text
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Links
Document type
Conference paper
Publisher
The International Society for Photogrammetry and Remote Sensing
Topic
- Physical Geography
Keywords
- 3D city model
- NoSQL
- data integration
- multiple representation structure
Conference name
ISPRS Symposium on Geospatial databases and location based services, 2014
Conference date
2014-05-14 - 2014-05-16
Conference place
Suzhou, China
Status
Published