NOSQL based 3d city model management system
(2014) ISPRS Symposium on Geospatial databases and location based services, 2014 XL-4.- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4628675
- author
- Mao, Bo ; Harrie, Lars LU ; Cao, J ; Wu, Z and Shenc, J
- organization
- publishing date
- 2014
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- 3D city model, NoSQL, data integration, multiple representation structure
- host publication
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- editor
- Zhang, H. and Jiang, J.
- volume
- XL-4
- pages
- 5 pages
- publisher
- The International Society for Photogrammetry and Remote Sensing
- conference name
- ISPRS Symposium on Geospatial databases and location based services, 2014
- conference location
- Suzhou, China
- conference dates
- 2014-05-14 - 2014-05-16
- external identifiers
-
- scopus:84924243476
- DOI
- 10.5194/isprsarchives-XL-4-169-2014
- language
- English
- LU publication?
- yes
- id
- 7943aef0-d3d3-430f-b4fc-3a1faae84585 (old id 4628675)
- alternative location
- http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/index.html
- date added to LUP
- 2016-04-04 12:02:06
- date last changed
- 2022-02-06 08:14:06
@inproceedings{7943aef0-d3d3-430f-b4fc-3a1faae84585, 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.}}, author = {{Mao, Bo and Harrie, Lars and Cao, J and Wu, Z and Shenc, J}}, booktitle = {{The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}}, editor = {{Zhang, H. and Jiang, J.}}, keywords = {{3D city model; NoSQL; data integration; multiple representation structure}}, language = {{eng}}, publisher = {{The International Society for Photogrammetry and Remote Sensing}}, title = {{NOSQL based 3d city model management system}}, url = {{https://lup.lub.lu.se/search/files/5912179/4698153.pdf}}, doi = {{10.5194/isprsarchives-XL-4-169-2014}}, volume = {{XL-4}}, year = {{2014}}, }