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:
Online Access:http://www.sciencedirect.com/science/article/pii/S167477552400177X
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