关键词: 遥感影像, 光谱信息, 道路提取, 区域生长, 路口模型

Abstract: An improved region growing method for road extraction in the remote sense images is proposed. K-means clustering algorithm is used to separate the road region from the non-road region of remote sensing images, gaining judgment conditions for region growing and getting the threshold value according to the image feature. Nine road junction models are designed according to the road characteristics. Based on the proposed road models, the region growing method is improved to extract the road in a way of the road intersection automatic growth. The mathematical morphology is utilized to optimize road region. The experimental results show that the extracted road region is more complete than that of literature method.

Key words: remote sensing images, spectral information, road extraction, region growing, road junction model