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A reliable and fast ribbon road detector using profile analysis and model‐based verification

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Ribbon roads are typical and important geospatial features. In this paper, we proposed a model-based method for extracting ribbon road features from remotely sensed imagery. Firstly, by analysing the perpendicular profiles along the road direction, we use binary profile template matching along the crossing-directions to obtain the coarse candidate road centre points. After tracing the curve segments and analysing the perpendicular profiles, the width of the road ribbons and their lateral sides and the accurate centrelines are located. Secondly, a quantitative ribbon road model, which integrates the geometry and radiometry characteristics, is deployed to verify each extracted road segment. The coarse-to-fine method makes use of an explicit road profile model and overcomes the negative influences of asymmetrical lateral contrast and width variation. Finally, the model-based verification enables more reliable sequential processing, such as perceptual grouping. We have conducted extensive experiments on verifying the algorithm. It has been demonstrated that the developed method is highly reliable for automatic detection of the typical ribbon road features from imagery.

Document Type: Research Article


Affiliations: Geospatial Information and Communication Laboratory, Department of Earth & Space Science and Engineering, York University, 4700 Keele Street, Toronto, ON, Canada, M3J 1P3, {xyhu, tao}

Publication date: 2005-03-01

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