A systematic review of deep learning methods for mineral exploration using multisource geoscience data (2018–2025)

Significant progress has been achieved in the applications of multisource datasets, comprising satellite observations, geophysical measurements, geochemical analysis, and geological information, for mineral prospectivity research. However, conventional mineral exploration techniques are increasingly...

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Bibliographic Details

Main Authors:	Manbin Yuan, Qingting Li, Bing Zhang, Jie Pan, Lianru Gao, Linhai Jing, Linlin Lu
Format:	Artigo
Language:	Inglês
Published:	Elsevier 2026-05-01
Series:	International Journal of Applied Earth Observations and Geoinformation
Subjects:	Deep learning Machine learning Remote sensing Geophysics Geochemistry Geology
Online Access:	http://www.sciencedirect.com/science/article/pii/S1569843226001706
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