Extraction of roads in mining area based on Canny edge detection operator

Abstract

As the main transport corridors of the mine,the roads in the mining area are very important parts of the mining activities. Spatially,the roads are the connection links of the other elements in the mining area,and there are important topological relationships between them: The major road usually connects such elements as the mining surface area( or mine adit),the processing pool,the solid waste mineral,the shed( or buildings) and the tailings. The extraction and recognition of the mine road are helpful to building the surface mining system( SMS), making it easy to monitor the mining area and get automatic interpretation of remote sensing. In order to extract the mine road,the authors used high- resolution remote sensing image and proposed an approach based on Canny edge detection operator for automatic extraction of the road in the mining area in this paper. Firstly,the road edges were extracted by using the Canny detector. Furthermore,the edge matching method was used to determine the road edges,which resulted in the quantization and positioning of the road vector in the study area. The methods proposed in this paper were used to extract the road in the mining area successfully. The results show that the proposed method is of very strong practical applicability.