西北地质2025，Vol.58Issue(3)：183-195,13.DOI:10.12401/j.nwg.2025069
近年国内外遥感地质找矿主要进展
Progress of Remote Sensing Geological Prospecting Domestic and Abroad in Recent Years
摘要
Abstract
In recent years,with the rapid development of satellite,aerial and ground remote sensing data sources and processing technology,significant progress has been made in the technical methods and applica-tions of remote sensing geological prospecting at home and abroad.In this paper,major satellite remote sensing data,aerial hyperspectral remote sensing data and ground data are systematically reviewed.Among them,multi-spectral images such as Landsat-8,ASTER and Sentinel-2 are the most widely used,and hyperspectral remote sensing data of domestic satellites such as GF-5 and ZY1-02D have covered most of the world's land area.It can meet the demand of global mineral resources exploration data and show great application potential and social and economic benefits.UAV hyperspectral sensors such as Headwall,HySpex and SSMAP have great potential in lithology and mineral identification at mining area scale.Remote sensing technology has achieved good appli-cation results in lithology classification,mineralization alteration information extraction,structure extraction and remote sensing prospecting model.With the development of artificial intelligence technology,it will play a greater role in remote sensing geological prospecting.At present,remote sensing geological prospecting still faces problems such as weak ore information extraction and scale difference of remote sensing data in complex landscape areas such as vegetated areas.In the future,further exploration is needed in multi-source remote sens-ing data fusion technology,broader application expansion and artificial intelligence prospecting application.关键词
高光谱遥感/矿产勘查/岩性分类/蚀变信息/人工智能Key words
hyperspectral remote sensing/mineral exploration/lithology classification/alteration informa-tion/Artificial intelligence分类
天文与地球科学引用本文复制引用
李志忠,陈圣波,刘德长,柳昆鹏,刘磊,王猛,李竺强,付垒,周致..近年国内外遥感地质找矿主要进展[J].西北地质,2025,58(3):183-195,13.基金项目
国家重点研发计划项目(2024YFC2909905),陕西省自然科学基础研究计划项目(2023-JC-ZD-18)联合资助. （2024YFC2909905）
