Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager

Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land Imager

Most known mineral deposits were discovered by accident using expensive, time-consuming, and knowledge-based methods such as stream sediment geochemical data, diamond drilling, reconnaissance geochemical and geophysical surveys, and/or remote sensing. Recent years have seen a decrease in the number...

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Bibliographic Details
Main Authors: Glen T. Nwaila, Steven E. Zhang, Julie E. Bourdeau, Yousef Ghorbani, Emmanuel John M. Carranza
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2022-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Anomaly detection
Iron deposit
Lansat-8
Remote sensing
Machine learning
Exploration
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544122000272

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http://www.sciencedirect.com/science/article/pii/S2666544122000272

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