The Recognition of Overpass in Volunteered Geographic Information

doi:10.11947/j.AGCS.2017.20160070

Abstract

Abstract: The paper presents an overpass recognition method in volunteered geographic information based on the geometry and attribute characteristics. The structure of the overpass is divided into the main bridge parts and the affiliated facilities. The main bridge parts with distinctive characters could be treated as a two-class classification problem. The characteristic vectors could build on the foundation of analysis and quantization the geometry and attribute characteristics. Then, the main bridge is recognized automatically through the support vector machine. The affiliated facilities of the overpass are recognized based on the main bridge with some relevant judgment rules. The OpenStreetMap(osm) is selected for the experiment. The results show that the method could effectively recognize the overpass and could provide help for the road simplification and walking guidance.

Key words: overpass, structure recognition, support vector machine, volunteered geographic information

CLC Number:

P208

MA Chao, SUN Qun, CHEN Huanxin, XU Qing, YANG Hui. The Recognition of Overpass in Volunteered Geographic Information[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(2): 246-252.

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