Iterative and localized radon transform for road centerline detection from classified imagery

Authors:
Isabelle Couloigner;Qiaoping Zhang
Affiliations:
Department of Geomatics Engineering, University of Calgary, Alberta, Canada;Intermap Technologies Corp., Calgary, Canada
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

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Abstract

An iterative and localized Radon transform is proposed in this paper for the specific application of road network extraction from high resolution satellite imagery. Based on an accurate estimation of the line width and line parameters in the radon space, the localized Radon transform makes it possible to detect the small road segments and the long curvilinear lines, which is a difficult task in road detection. Experiments on both synthetic and real-world imagery have shown that the proposed methodology is effective in detecting road centerlines from classified imagery.