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Proceedings Paper

Semi-automatic extraction of ribbon roads from high resolution remotely sensed imagery by T-shaped template matching
Author(s): Xiangguo Lin; Jixian Zhang; Zhengjun Liu; Jing Shen
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Paper Abstract

In this paper, we present a novel approach for semi-automatic extraction of ribbon road axes from high resolution remotely sensed imagery. The core of our system is a road tracker based on T-shaped template matching. T-shaped template is composed of a profile perpendicular to the road axis and a rectangle parallel to and as wide as the road marks or strips of vegetation. Actually, the T-shaped template matching is an integration and improvement of typical profile matching and rectangular template matching. At the same time, parabola is deployed to model the road trajectory to predict the position of subsequent road points and to guide the tracking go through bad road conditions. Simultaneously, the least square matching is employed to search the precise road centerline point. Extensive experiments demonstrate that our proposed algorithm can fast and reliably trace roads with road marks or strip of vegetation.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470J (7 November 2008); doi: 10.1117/12.813220
Show Author Affiliations
Xiangguo Lin, Chinese Academy of Surveying and Mapping (China)
Wuhan Univ. (China)
Jixian Zhang, Chinese Academy of Surveying and Mapping (China)
Zhengjun Liu, Chinese Academy of Surveying and Mapping (China)
Jing Shen, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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