
Proceedings Paper
Automatic cartographic generalization for urban buildings based on least squares adjustmentFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
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
Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models
Manchun Li; Jiechen Wang, Editor(s)
PDF: 12 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510Z (1 August 2007); doi: 10.1117/12.759699
Show Author Affiliations
Zuqiang Xiong, Henan Polytechnic Univ. (China)
Yonghe Liu, 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)
© SPIE. Terms of Use
