Automatic description of rock thin sections: A web application
The identification and characterization of rock types is a core activity in geology and related fields, including mining, petroleum, environmental science, industry, and construction. Traditionally, this task is performed by human specialists who analyze and describe the type, composition, texture,...
Saved in:
| Main Authors: | Stalyn Paucar, Christian Mejia-Escobar, Victor Collaguazo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2025-06-01
|
| Series: | Artificial Intelligence in Geosciences |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666544125000140 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of microscopic images of rock thin sections based on TLCA-ResNet34
by: Zhenyu Zhao, et al.
Published: (2025-09-01) -
Application of ResUNet-CBAM in Thin-Section Image Segmentation of Rocks
by: Ling Zhao, et al.
Published: (2024-12-01) -
Recommendations for modelling elements from thin-walled steel sections
by: N. D. Korsun, et al.
Published: (2024-03-01) -
Automatic classification of Carbonatic thin sections by computer vision techniques and one-vs-all models
by: Elisangela L. Faria, et al.
Published: (2025-06-01) -
Identification of AI-Generated Rock Thin-Section Images by Feature Analysis Under Data Scarcity
by: Magdalena Habrat, et al.
Published: (2025-07-01)