In this paper, an automated road extraction from high-resolution remote sensing images method based on road
synthetical characteristics is presented. First, spectral property, geometric property and textural property of road class
have been considered and a road clustering model has been established. Second, mathematical morphology has been
applied to extract road centerlines. Experiments prove that the model of this paper could describe the features of road
well and accurately identify the road class from high-resolution remote sensing images.