A Method of Road Extraction from Remote Sensing Images Based on Shape Features and Width-Tolerant Hough Transform

Abstract

Road extraction from high-resolution remote sensing image is an important and difficult task. The road-extraction method, which uses the integration shape features and the improved Hough transform, is proposed in this paper. Firstly, the image is segmented, and then the linear and curve roads are obtained by using several object shape features. Secondly, the step of road extraction is using the improved Hough transform method to deal with the road targets. Finally, the extracted roads are regulated by combining the edge information. In experiments, the images including the better gray uniform of road and the worse illuminated of road surface were chosen, and the results prove that the method of this study is promising.