人工智能驱动的天空地一体化遥感找矿勘查OA
AI-Driven Space-Air-Ground Integrated Remote Sensing for Mineral Exploration:Advances,Challenges,and Development Trends
高分辨率对地观测、人工智能与物联网技术的深度融合,正推动遥感地质勘查从传统的单一卫星数据解译,迈向天空地协同观测与多源数据智能勘探的新范式.本文系统综述了近年来"天基(卫星)、空基(航空/无人机)与地基(地面传感)"一体化遥感技术体系在矿产勘查领域的关键进展.重点阐述了:(1)平台与传感器技术的突破,特别是高光谱、激光雷达与合成孔径雷达的协同观测机制与应用现状;(2)数据智能处理方法的革新,涵盖了多源异构数据融合技术及人工智能驱动的矿产信息提取与成矿预测模型;(3)应用范式的构建与实践,总结了该技术在覆盖区、深部及特殊景观区等复杂场景下的成功案例,形成了"卫星广域筛查—航空无人机精细详查—地面靶区验证"的标准化技术流程.在此基础上,本文深入剖析了当前面临的核心技术瓶颈,包括多源数据融合标准缺失、预测结果不确定性量化困难,以及智能地质模型的"黑箱"可解释性薄弱等问题.面向未来,本文对技术发展趋势进行了展望:以实时化、智能化和数字孪生为核心的智慧勘探,以及星群协同智能观测网络的构建,将成为引领遥感找矿技术革新的重要方向.综上所述,天空地一体化智能遥感技术体系正从根本上变革传统找矿模式,为破解复杂地质条件下的勘查难题、保障国家矿产资源安全提供了关键的科技支撑.
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.
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
广州大学,广东 广州 510006||西北大学,陕西 西安 710075广州大学,广东 广州 510006中国地质调查局西安地质调查中心,陕西 西安 710119中国冶金地质总局矿产资源研究院,北京 101300广州大学,广东 广州 510006长安大学,陕西 西安 710054||西部矿产资源与地质工程教育部重点实验室,陕西 西安 710054长安大学,陕西 西安 710054||西部矿产资源与地质工程教育部重点实验室,陕西 西安 710054中国地质调查局西安地质调查中心,陕西 西安 710119自然资源陕西卫星技术应用中心,陕西 西安 710002中国自然资源航空物探遥感中心,北京 100083
天文与地球科学
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
space-air-ground integrationremote sensing for mineral explorationhyperspectral remote sensingLiDARartificial intelligencemulti-source data fusionmineral exploration
《地质与勘探》 2026 (2)
229-242,14
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.
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