Identification of Northern Open-pit Coal Mine Based on Domestic High Score Big Data and Deep Learning
How to monitor the coal mine in real time and efficiently,standardize the coal mine management and monitor the potential danger in coal mine has become a problem that the mining industry pays more and more attention to.This paper takes open-pit coal mines in Inner Mongolia Autonomous Region,Xinjiang Uygur Autonomous Region and Shanxi Province as research areas,uses high-resolution remote sensing satellite image data from China to build sample data sets of open-pit coal mines,and uses convolutional neural network to train and test the open-pit coal mine extraction model based on high-resolution remote sensing data from China,realizing automatic extraction of open-pit coal mines in the study area.