In this paper, the strategy to extract accurate road centerlines from acquired road stripe image was explored. The workflow is as follows: Firstly, road candidate points are obtained based on probabilistic boosting tree algorithm, and smooth and integrated road stripes are immediately acquaried by morphology. Secondly, thinning algorithm is introduced to automatically detect road centerlines; nevertheless, the output contained spurs and local curvature of centerlines change much. After that, geodesic distance theory is used to remove spurs. Thirdly, initial results are refined on the basis of Dijkstra algorithm. Lastly, the ultimate road centerlines are obtained according to direction consistency and road continuity. The authors performed an experiment on a high resolution aerial image. The result is satisfactory and shows that the strategy proposed in this paper is an effective method.
周绍光, 向晶, 邱伟, 孙金彦, 凡莉. 基于高分辨率影像的道路中心线提取技术研究[J]. 国土资源遥感, 2015, 27(4): 21-26.
ZHOU Shaoguang, XIANG Jing, QIU Wei, SUN Jinyan, FAN Li. A study of road centerline extraction from high resolution image. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(4): 21-26.
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2015, Vol. 27 
