Automatic, Point-Wise Rock Image Enhancement by Novel Unsupervised Deep Learning: Dataset Establishment and Model Development
Author:
Funder
Research Grants Council of Hong Kong
University of Hong Kong
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00603-023-03490-1.pdf
Reference90 articles.
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3. Baraboshkin E, Ismailova L, Orlov D, Zhukovskaya E, Kalmykov G, Khotylev O, Baraboshkin EY, Koroteev D (2020) Deep convolutions for in-depth automated rock typing. Comput Geosci 135:104330
4. Berrezueta E, Dominguez-Cuesta MJ, Rodriguez-Rey A (2019) Semi-automated procedure of digitalization and study of rock thin section porosity applying optical image analysis tools. Comput Geosci 124:14–26
5. Bertalmío M, Caselles V, Provenzi E (2009) Issues about retinex theory and contrast enhancement. Int J Comput Vision 83:101–119
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