Share Email Print

Proceedings Paper

An algorithm for matching multiscale linear objects based on Hausdorff distance
Author(s): Liping Zhang; Qingsheng Guo; Yan Sun
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In order to reveal and implement the corresponding association about the same geographical feature at different resolutions and to build the multi-scale spatial database and maintain the consistency between different scale map databases, an algorithm for matching multi-scale linear objects based on Hausdorff Distance as a matching measure is proposed combined with the semantic information. Further more, the concept of matching uncertainty is defined as to evaluate the matching result. The experiment and the estimate result show that according to the characteristics of road networks changing with scales, this approach can recognize the entity or a set of entities which represent the same object at different scales so as to build the relationships of corresponding objects.

Paper Details

Date Published: 1 August 2007
PDF: 13 pages
Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510D (1 August 2007); doi: 10.1117/12.759492
Show Author Affiliations
Liping Zhang, Wuhan Univ. (China)
Qingsheng Guo, Wuhan Univ. (China)
Yan Sun, The Chinese People's Liberation Army (China)

Published in SPIE Proceedings Vol. 6751:
Geoinformatics 2007: Cartographic Theory and Models

© SPIE. Terms of Use
Back to Top