Experimental Studies on Rock Thin-Section Image Classification by Deep Learning-Based Approaches

Experimental studies were carried out to analyze the impact of optimizers and learning rate on the performance of deep learning-based algorithms for rock thin-section image classification. A total of 2634 rock thin-section images including three rock types—metamorphic, sedimentary, and volcanic rock...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Diyuan Li, Junjie Zhao, Jinyin Ma
Format:	Article
Language:	English
Published:	MDPI AG 2022-07-01
Subjects:	rock rock thin-section image image classification convolutional neural network deep learning
Online Access:	https://www.mdpi.com/2227-7390/10/13/2317