Semantic Segmentation of Some Rock-Forming Mineral Thin Sections Using Deep Learning Algorithms: A Case Study from the Nikeiba Area, South Eastern Desert, Egypt

Semantic Segmentation of Some Rock-Forming Mineral Thin Sections Using Deep Learning Algorithms: A Case Study from the Nikeiba Area, South Eastern Desert, Egypt

Image semantic segmentation using deep learning algorithms plays a vital role in identifying different rock-forming minerals. In this paper, we employ the U-net model for its architecture that guarantees precise localization and efficient data utilization. We implement this deep learning model acros...

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Bibliographic Details
Main Authors: Safaa M. Hassan, Noureldin Laban, Saif M. Abo Khashaba, N. H. El-Shibiny, Bashar Bashir, Mokhles K. Azer, Kirsten Drüppel, Hatem M. Keshk
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Remote Sensing
Subjects:
U-net
deep learning
thin sections
image segmentation
Online Access:https://www.mdpi.com/2072-4292/16/13/2276

Internet

https://www.mdpi.com/2072-4292/16/13/2276

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