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Proceedings Paper

Building simplification algorithms based on user cognition in mobile environment
Author(s): Jie Shen; Junfei Shi; Meizhen Wang; Chenyan Wu
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Paper Abstract

With the development of LBS, mobile map should adaptively satisfy the cognitive requirement of user. User cognition in mobile environment is much more objective oriented and also seem to be a heavier burden than the user in static environment. The holistic idea and methods of map generalization can not fully suitable for the mobile map. This paper took the building simplification in habitation generalization as example, analyzed the characteristic of user cognition in mobile environment and the basic rules of building simplification, collected and studied the state-of-the-art of algorithms of building simplification in the static and mobile environment, put forward the idea of hierarchical building simplification based on user cognition. This paper took Hunan road business district of Nanjing as test area and took the building data with shapfile format of ESRI as test data and realized the simplification algorithm. The method took user as center, calculated the distance between user and the building which will be simplified and took the distance as the basis for choosing different simplification algorithm for different spaces. This contribution aimed to hierarchically present the building in different level of detail by real-time simplification.

Paper Details

Date Published: 3 November 2008
PDF: 8 pages
Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71432T (3 November 2008); doi: 10.1117/12.812633
Show Author Affiliations
Jie Shen, Nanjing Normal Univ. (China)
Junfei Shi, Nanjing Normal Univ. (China)
Meizhen Wang, Nanjing Normal Univ. (China)
Chenyan Wu, Nanjing Normal Univ. (China)

Published in SPIE Proceedings Vol. 7143:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Aijun Chen, Editor(s)

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