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Hybrid 3D Rendering of Large Map Data for Crisis Management

Tully, D and El Rhalibi, A and Carter, C and Sudirman, S (2015) Hybrid 3D Rendering of Large Map Data for Crisis Management. ISPRS International Journal of Geo-Information, 4 (3). pp. 1033-1054. ISSN 2220-9964

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Abstract

In this paper we investigate the use of games technologies for the research and the development of 3D representations of real environments captured from GIS information and open source map data. Challenges involved in this area concern the large data-sets to be dealt with. Some existing map data include errors and are not complete, which makes the generation of realistic and accurate 3D environments problematic. The domain of application of our work is crisis management which requires very accurate GIS or map information. We believe the use of creating a 3D virtual environment using real map data whilst correcting and completing the missing data, improves the quality and performance of crisis management decision support system to provide a more natural and intuitive interface for crisis managers. Consequently, we present a case study into issues related to combining multiple large datasets to create an accurate representation of a novel, multi-layered, hybrid real-world maps. The hybrid map generation combines LiDAR, Ordnance Survey, and OpenStreetMap data to generate 3D cities spanning 1 km2. Evaluation of initial visualised scenes is presented. Initial tests consist of a 1 km2 landscape map containing up to 16 million vertices’ and run at an optimal 51.66 frames per-second.

Item Type: Article
Uncontrolled Keywords: Crisis Management; Geovisualisation; Open Data and Volunteered Geographical Information (VGI); Games Technology; LiDAR; Open Street Map; Ordnance Survey; Hybrid Map Generation; Map Error Reduction; Decision Support System
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science
Publisher: MDPI AG
Date Deposited: 13 Jul 2015 13:03
Last Modified: 07 Sep 2017 17:10
DOI or Identification number: 10.3390/ijgi4031033
Editors: Aubrecht, C
URI: http://researchonline.ljmu.ac.uk/id/eprint/1567

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