Deep learning based identification of rock minerals from un-processed digital microscopic images of undisturbed broken-surfaces

Deep learning based identification of rock minerals from un-processed digital microscopic images of undisturbed broken-surfaces

This study employed convolutional neural networks (CNNs) for the classification of rock minerals based on 3179 RGB-scale original microstructural images of undisturbed broken surfaces. The image dataset covers 40 distinct rock mineral-types. Three CNN architectures (Simple model, SqueezeNet, and Xce...

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Bibliographic Details
Main Authors: M.A. Dalhat, Sami A. Osman
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2025-06-01
Series:Artificial Intelligence in Geosciences
Subjects:
Deep learning
Rock minerals
Convolutional neural networks
Geoscience
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2666544125000231
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http://www.sciencedirect.com/science/article/pii/S2666544125000231

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