摘要
针对矿区韧性剪切带找矿过程中勘查难度大的问题,提出基于深度学习的矿区韧性剪切带找矿研究。运用遥感技术扫描出韧性剪切带的地质构造;通过光谱探测器提取出韧性剪切带的化学矿质信息;通过GIS技术对该韧性剪切带的地质信息和矿质信息进行分析,以此来确定找矿靶区具体位置。
In view of the difficulty in prospecting for ductile shear zone in mining area,a study on prospecting for ductile shear zone in mining area based on deep learning is proposed.The geological structure of ductile shear zone is scanned by remote sensing technology;the chemical mineral information of ductile shear zone is extracted by spectral detector;and the geological information and mineral information of ductile shear zone are analyzed by GIS technology to determine the specific location of prospecting target area.
作者
肖壮
罗彬
刘友明
XIAO Zhuang;LUO Bin;LIU You-ming(Team 810,East China Geological Exploration Bureau of nonferrous metals,Jiangsu Province,Nanjing 210000;Team 809,East China Geological Exploration Bureau of nonferrous metals,Jiangsu Province,Nanjing 210000)
出处
《世界有色金属》
2019年第21期46-47,共2页
World Nonferrous Metals
关键词
深度学习
遥感技术
光谱探测器
GIS地图
in-depth learning
remote sensing technology
spectral detector
GIS map
