A Road Extraction Method Based on Region Growing and Mathematical Morphology from Remote Sensing Images

• 作者: Chi Ma Jiuwei Xu Li Li Xiaoyan Xing Yong Zhang Yunhe Liu Zhigang Wang
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: Region GROWING Mathematical MORPHOLOGY Road Extraction REMOTE SENSING IMAGES
• 年，卷（期）: 2018,（11）
• 页码范围: 91-97
• 页数: 7页
• 分类号: TP39

摘要

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