Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks

Experiments on image data augmentation techniques for geological rock type classification with convolutional neural networks

The integration of image analysis through deep learning (DL) into rock classification represents a significant leap forward in geological research. While traditional methods remain invaluable for their expertise and historical context, DL offers a powerful complement by enhancing the speed, objectiv...

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Bibliographic Details
Main Authors: Afshin Tatar, Manouchehr Haghighi, Abbas Zeinijahromi
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Rock Mechanics and Geotechnical Engineering
Subjects:
Deep learning (DL)
Image analysis
Image data augmentation
Convolutional neural networks (CNNs)
Geological image analysis
Rock classification
Online Access:http://www.sciencedirect.com/science/article/pii/S167477552400177X
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