Deep learning of rock microscopic images for intelligent lithology identification: Neural network comparison and selection

An intelligent lithology identification method is proposed based on deep learning of the rock microscopic images. Based on the characteristics of rock images in the dataset, we used Xception, MobileNet_v2, Inception_ResNet_v2, Inception_v3, Densenet121, ResNet101_v2, and ResNet-101 to develop micros...

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Bibliographic Details

Published in:	Journal of Rock Mechanics and Geotechnical Engineering
Main Authors:	Zhenhao Xu, Wen Ma, Peng Lin, Yilei Hua
Format:	Article
Language:	English
Published:	Elsevier 2022-08-01
Subjects:	Deep learning Rock microscopic images Automatic classification Lithology identification
Online Access:	http://www.sciencedirect.com/science/article/pii/S1674775522001202