Research on intelligent interpretation of covering measures of dense mesh net based on UAV remote sensing images

In order to explore the method of intelligent interpretation of typical measures of environmental protection and water conservation in pumped storage power station by UAV remote sensing technology, Wei Fang of pumped storage power station in North China was selected as the research area and the measure of dense mesh covering was selected for intelligent interpretation study. Firstly, a sample database of typical measures of dense mesh cover was built based on the orthophoto image of the UAV. Then the dense mesh cover recognition model is constructed using ENVI deep learning model framework. At last, the loss, accuracy and recall rate indicators provided by the ENVI deep learning module TensorBoard is usd to evaluate the accuracy of the recognition of model, which the accuracy reaches to 93%.