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Road Extraction from remote sensing images has been an important research topic. It is difficult to extract the road quickly and reliably due to the complexity of the road features. In this paper, an improved GVF-Snake algorithm as a segmentation method automatically labels training samples to reduce the complexity of the manual labeling data, and a Classification and Regression Tree method is used to extract the roads from remote sensing images by classification. The experiments indicate that the proposed method can efficiently and automatically extract the roads from remote sensing images. Keywords-road extraction; GVF-Snake; classification; CART

Road Extraction Using an Improved Snake Model and CART