Automatic Road Extraction on Aerial Photo and Laser Scanner Data

Digitizing road maps manually is an expensive and time-consuming task. In this work we introduce a method, based on the iterative and localized Radon transform and optimal algorithms, which extracts automatically roads on images and airborne laser scanners of rural areas. The proposed method detects linear segments iteratively and starting from this it generates the roads centerlines. The results of the tests were presented and discussed, and the quality of the detected roads centerlines was computed. The values obtained reveal that the proposed method can be promising.

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