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.
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Couloigner, I., Zhang, Q. (2007). Iterative and Localized Radon Transform for Road Centerline Detection from Classified Imagery. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_97
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DOI: https://doi.org/10.1007/978-3-540-74260-9_97
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