Deep-Learning-Based Seismic-Signal P-Wave First-Arrival Picking Detection Using Spectrogram Images

Deep-Learning-Based Seismic-Signal P-Wave First-Arrival Picking Detection Using Spectrogram Images

The accurate detection of P-wave FAP (First-Arrival Picking) in seismic signals is crucial across various industrial domains, including coal and oil exploration, tunnel construction, hydraulic fracturing, and earthquake early warning systems. At present, P-wave FAP detection relies on manual identif...

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Bibliographic Details
Main Authors: Sugi Choi, Bohee Lee, Junkyeong Kim, Haiyoung Jung
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Electronics
Subjects:
deep learning
FAP (First-Arrival Picking) detection
seismic signal
spectrogram images
U-Net model
WGN (white Gaussian noise)
Online Access:https://www.mdpi.com/2079-9292/13/1/229

Internet

https://www.mdpi.com/2079-9292/13/1/229

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