Semi-automatic extraction of ribbon roads from high resolution remotely sensed imagery by T-shaped template matching
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.
road extraction road tracking profile matching template matching semi-automatic
Xiangguo Lin Jixian Zhang Zhengjun Liu Jing Shen
Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing,Chin Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing,Chin Institute of Photogrammetry and Remote Sensing,Chinese Academy of Surveying and Mapping,Beijing,Chin School of Resources and Environment,Wuhan University,Wuhan,China 430079
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）