Classification of microscopic images of rock thin sections based on TLCA-ResNet34

Classification of microscopic images of rock thin sections based on TLCA-ResNet34

Identifying microscopic images of rocks is a crucial method for rock identification, playing a vital role in geological exploration and mineral mining. To facilitate the quick classification and identification of rock thin sections under a microscope, a dataset with 3116 microscopic images of 9 type...

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Bibliographic Details
Main Authors: Zhenyu Zhao, Shucheng Tan, Hui Chen, Pengwei Wang, Qinghua Zhang, Haoyu Wei, Zhenlin Zhang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Applied Computing and Geosciences
Subjects:
Rock thin section
ResNet
Transfer learning
Channel attention
Image classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197425000540
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http://www.sciencedirect.com/science/article/pii/S2590197425000540

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