An algorithm for matching multiscale linear objects based on Hausdorff distance

Liping Zhang; Qingsheng Guo; Yan Sun

doi:10.1117/12.759492

1 August 2007 An algorithm for matching multiscale linear objects based on Hausdorff distance

Liping Zhang, Qingsheng Guo, Yan Sun

Proceedings Volume 6751, Geoinformatics 2007: Cartographic Theory and Models; 67510D (2007) https://doi.org/10.1117/12.759492
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Liping Zhang, Qingsheng Guo, and Yan Sun "An algorithm for matching multiscale linear objects based on Hausdorff distance", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510D (1 August 2007); https://doi.org/10.1117/12.759492

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