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A systematic review of machine learning-based remote sensing data analysis for geological and mined materials characterisation

The mining industry is undergoing a significant transformation, driven by advancements in remote sensing technology that enable the collection of large-scale data on the geological and geotechnical properties of mined materials. As the volume and complexity of data generated by advanced imaging meth...

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Autori principali: Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval
Natura: Artigo
Lingua:Inglês
Pubblicazione: Taylor & Francis Group 2025-12-01
Serie:European Journal of Remote Sensing
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Accesso online:https://www.tandfonline.com/doi/10.1080/22797254.2025.2524622
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