Application of UAV surveying technology in identification of fractures and mines in mined-out areas
The purpose of this paper is to achieve rapid identification of goaf cracks and mine openings.Basic data collection is carried out using unmanned aerial vehicle(UAV)aerial survey equipment and infrared sensing equipment.Through automatic modeling of Agisoft Photoscan orthophoto images,Matlab convolutional neural network models,Python deep learning and other methods,the identification and mapping of goaf cracks and mine openings are achieved.On one hand,it effectively addresses the difficulties of complex geological environment and high surveying safety risks in goaf areas;On the other hand,it solves the problems of low efficiency in manual surveying and low accuracy in remote sensing surveying.This paper utilizing the advantages of flexible,efficient,and highly digitized UAVs to match mathematical models for automated identification surveying and mapping,it improves surveying efficiency and reduces surveying difficulty.
NETL
NSTL
万方数据
维普
