Semi-universal geo-crack detection by machine learning

Introduction: Cracks are a key feature that determines the structural integrity of rocks, and their angular distribution can be used to determine the local or regional stress patterns. The temporal growth of cracks can be monitored in order to predict impending failures of materials or structures su...

Full description

Bibliographic Details
Published in:Frontiers in Earth Science
Main Authors: Yongxiang Shi, Marco Ballesio, Kasper Johansen, Daniel Trentman, Yunsong Huang, Matthew F. McCabe, Ronald Bruhn, Gerard Schuster
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Subjects:
geo-crack detection
rock cracks
U-Net
convolutional neural network
transfer learning
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2023.1073211/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2023.1073211/full

Similar Items