Road traffic is the important driving factor for economic and social development.\nWith the rapid increase of vehicle population, road traffic problems\nsuch as traffic jam and traffic accident have become the bottleneck which restricts\neconomic development. In recent years, natural disasters frequently\noccur in China. Therefore, it is essential to extract road information to compute\nthe degree of road damage for traffic emergency management. A road\nextraction method based on region growing and mathematical morphology\nfrom remote sensing images is proposed in this paper. According to the road\nfeatures, the remote sensing image is preprocessed to separate road regions\nfrom non-road regions preliminarily. After image thresholding, region growing\nalgorithm is used to extract connected regions. Then we sort connected\nregions by area to exclude the small regions which are probably non-road objects.\nFinally, the mathematical morphology algorithm is used to fill the holes\ninside the road regions. The experimental results show that the method proposed\ncan effectively extract roads from remote sensing images. This research\nalso has broad prospects in dealing with traffic emergency management by\nthe government.
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