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Proceedings Paper

Land use database generalization aided by supporting data structure and semantic evaluation model
Author(s): Yaolin Liu; Martin Molenaar; Tinghua Ai; Yanfang Liu
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Paper Abstract

This paper focuses on the issues of categorical database generalization and emphasizes the roles of supporting data model, integrated data model, spatial analysis and semantic analysis in database generalization. The framework contents of categorical database generalization transformation are defined. The paper presents an integrated spatial supporting data structure, a semantic supporting model and similarity model for categorical database generalization. The concept of transformation unit is proposed in generalization. The paper concludes with an application of landuse database generalization.

Paper Details

Date Published: 13 February 2004
PDF: 12 pages
Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); doi: 10.1117/12.510892
Show Author Affiliations
Yaolin Liu, Wuhan Univ. (China)
Martin Molenaar, International Institute for Geo-Information Science and Earth Observation (Netherlands)
Tinghua Ai, Wuhan Univ. (China)
Yanfang Liu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 5239:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III
Manfred Ehlers; Hermann J. Kaufmann; Ulrich Michel, Editor(s)

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