Using a local Radon transform helps improve the performance of the Radon transform-based linear feature detection. In this paper, three different approaches to localize the Radon transform are implemented and compared in the context of road centerline extraction from classified satellite imagery.
['Qiaoping Zhang', 'Isabelle Couloigner']
Comparing Different Localization Approaches of the Radon Transform for Road Centerline Extraction from Classified Satellite Imagery