Automatic Monitoring of Rock‐Slope Failures Using Distributed Acoustic Sensing and Semi‐Supervised Learning

Abstract Effective use of the wealth of information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose a semi‐supervised neural network tailored to screen DAS data related to a series of rock collapses leading to a major failure of approximate...

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Bibliografische gegevens

Hoofdauteurs:	Jiahui Kang, Fabian Walter, Patrick Paitz, Johannes Aichele, Pascal Edme, Lorenz Meier, Andreas Fichtner
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wiley 2024-10-01
Reeks:	Geophysical Research Letters
Onderwerpen:	distributed acoustic sensing machine learning precursors image processing representation learning early warning
Online toegang:	https://doi.org/10.1029/2024GL110672
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