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Automatic Lithology Classification of Whole Core Images Using Multi-Input Convolutional Neural Networks: Integrating Visible Light and Ultraviolet Photography

Crossref DOI link: https://doi.org/10.1007/s11053-025-10543-5

Published Online: 2025-08-12

Published Print: 2025-10

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ghavami, Seyedeh Zahra

Sadeghnejad, Saeid

Khoozan, Davood

Schäfer, Thorsten
Funding

Funding for this research was provided by:

Friedrich-Schiller-Universität Jena
License Information

Text and Data Mining valid from 2025-08-12

Version of Record valid from 2025-08-12
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Article History

Received: 30 November 2024

Accepted: 25 July 2025

First Online: 12 August 2025

Declarations

:

: The authors have no competing interests to declare that are relevant to the content of this article. The authors did not receive support from any organization for the submitted work.

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