Rural Road Networks Matching Via Extending Line

Road network matching has played an important role in road network extraction and update, yet has got extensive researching during the recent decades. Differ from previous road matching methods focus mainly on the city areas, which have accurate and regular road networks, this paper aim to address the matching between incomplete ground survey road network and extracted road network from remote sensing images. Specifically, we propose an extending line based matching scheme to calculate the road primitive similarity by taking into account the surrounding connections and contextual information. The experimental results show that the proposed method is able to provide high quality matching results, even the ground survey data are very different from the extracted road network of the satellite. Thus makes it possible to implement the road network update for the wide rural regions without interested ground survey road network data.