Intelligent recognition and quantitative analysis of borehole hydraulic geological images utilizing multiple deep learning models

Intelligent recognition and quantitative analysis of borehole hydraulic geological images utilizing multiple deep learning models

Objective Borehole Televiewer (BHTV) imaging serves as an effective tool for analyzing deep rock formations in geological engineering, offering crucial insights into surface discontinuity extensions and the distribution of buried discontinuities, especially within complex geological environments ass...

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Bibliographic Details
Main Authors: Ye Zhang, Jinqiao Chen, Yanlong Li
Format: Article
Language:zho
Published: Editorial Department of Bulletin of Geological Science and Technology 2023-11-01
Series:地质科技通报
Subjects:
deep learning
attention mechanism
unet
image thinning
fracture quantitative analysis
borehole
intelligent recognition
Online Access:https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20220091

Internet

https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.tb20220091

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