Extraction Of Road Networks Using Matching Pattern And Mathematical Morphology Technology

Road information is an important geomatic information in the study of remote sensing images. Its automatic extraction from remote sensing images will simplify classification and measures of objects in the images. But automatic extraction of road network is very difficult. In this paper we propose a semi-automatic extraction method. Through pattern matching and processing with mathematical morphology, a skeleton of road network can be obtained. Experimental results show that the method is quite accurate with simplicity and rapidity for middle or high-resolution remote sensing images.