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NOSQL based 3d city model management system

Mao, Bo ; Harrie, Lars LU orcid ; Cao, J ; Wu, Z and Shenc, J (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:
author
; ; ; and
organization
publishing date
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}},
}