地质与勘探2026，Vol.62Issue(2)：229-242,14.DOI:10.12134/j.dzykt.2026.02.002
人工智能驱动的天空地一体化遥感找矿勘查
AI-Driven Space-Air-Ground Integrated Remote Sensing for Mineral Exploration:Advances,Challenges,and Development Trends
摘要
Abstract
The deep integration of high-resolution Earth observation,artificial intelligence,and the Internet of Things is propelling remote sensing geological exploration from traditional single-satellite data interpretation towards a new paradigm of space-air-ground collaborative observation and intelligent multi-source data analysis.This paper systematically reviews the key progress of the integrated"space-based(satellites),air-based(aviation/UAVs),and ground-based(surface sensing)"remote sensing technology system in the field of mineral exploration.The discussion focuses on three primary aspects:(1)Breakthroughs in platform and sensor technologies,particularly the advancements in hyperspectral,LiDAR,and synthetic aperture radar,along with their collaborative observation mechanisms and current applications;(2)Innovations in intelligent data processing methods,encompassing fusion techniques for multi-source heterogeneous data,as well as AI-driven extraction of mineral information and metallogenic prediction models;(3)Establishment and practice of application paradigms,summarizing successful case studies of this technology in complex scenarios such as covered areas,deep-seated zones,and special landscape regions.This has led to the development of a standardized technical workflow:"satellite-based wide-area screening→UAV-based detailed survey→ground-based target validation."Building on this systematic review,the paper further analyzes the core technological bottlenecks currently hindering development.These primarily include the lack of standardization in multi-source data fusion,difficulties in quantifying prediction uncertainty,and the weak interpretability of intelligent geological models(the"black box"problem).Looking forward,the paper discusses future development trends,highlighting that real-time,intelligent,and digital-twin-enabled smart exploration,along with the construction of satellite constellation-coordinated intelligent observation networks,will become important drivers of innovation in remote sensing technology for mineral exploration.In conclusion,this intelligent space-air-ground integrated remote sensing technology system is fundamentally transforming traditional exploration paradigms,providing critical scientific and technological support for solving exploration challenges in complex geological settings and ensuring national mineral resource security.关键词
天空地一体化/遥感找矿/高光谱遥感/激光雷达/人工智能/多源数据融合/矿产勘查Key words
space-air-ground integration/remote sensing for mineral exploration/hyperspectral remote sensing/LiDAR/artificial intelligence/multi-source data fusion/mineral exploration分类
天文与地球科学引用本文复制引用
李志忠,周致,尹春涛,王猛,王晋年,刘磊,刘会涛,韩海辉,付垒,鞠星..人工智能驱动的天空地一体化遥感找矿勘查[J].地质与勘探,2026,62(2):229-242,14.基金项目
陕西省自然科学基础研究计划项目(编号:2025JC-YBQN-384)和长安大学中央高校基本科研业务费专项资金(编号:300102265510)联合资助. （编号:2025JC-YBQN-384）
