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GAP FILLING IN ROAD EXTRACTION USING RADON TRANSFORMATION
2012
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Road information has a key role in many applications such as transportation, automatic navigation, traffic management, crisis management, and also to facilitate and accelerate updating databases in a GIS. Therefore in the past two decades, automatic road extraction has become an important issue in remote sensing, photogrammetry and computer vision. An essential challenge in road extraction process is filling the gaps which have appeared due to getting placed under trees, tunnels or any other
doi:10.5194/isprsannals-i-4-47-2012
fatcat:ffb3nr7htzdbjch54htzzj477m