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Proceedings Paper

Automatic cartographic generalization for urban buildings based on least squares adjustment
Author(s): Ce Yuan; Jin Zhang; Zuqiang Xiong; Yonghe Liu
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Paper Abstract

It is difficult to carry out the automatic cartographic generalization of urban buildings, because of their complex shape. An algorithm and some constraints for generalization using Least Squares Adjustment theory are presented, with analyzing the procedure of generalization for urban buildings under multi-scale environment. Automatic generalization for building polygons can be carried out in the algebra way, with building the automatic generalization adjustment model including simplification, aggregation, displacement and symbolization. The practice shows that the object shape is represented perfectly by the algorithm, with providing a basis for evaluation on results of generalization, which improves the procedure of automatic generalization in scientific and feasibility.

Paper Details

Date Published: 1 August 2007
PDF: 12 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510Z (1 August 2007); doi: 10.1117/12.759699
Show Author Affiliations
Ce Yuan, Henan Polytechnic Univ. (China)
Jin Zhang, Taiyuan Univ. of Technology (China)
Zuqiang Xiong, Henan Polytechnic Univ. (China)
Yonghe Liu, Henan Polytechnic Univ. (China)

Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models
Manchun Li; Jiechen Wang, Editor(s)

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