Automatic Image-Based Event Detection for Large-N Seismic Arrays Using a Convolutional Neural Network

Automatic Image-Based Event Detection for Large-N Seismic Arrays Using a Convolutional Neural Network

Passive seismic experiments have been proposed as a cost-effective and non-invasive alternative to controlled-source seismology, allowing body–wave reflections based on seismic interferometry principles to be retrieved. However, from the huge volume of the recorded ambient noise, only selected time...

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Bibliographic Details
Main Authors: Miłosz Mężyk, Michał Chamarczuk, Michał Malinowski
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
interferometry
ambient noise
convolutional neural network
deep learning
detection
data selection
Online Access:https://www.mdpi.com/2072-4292/13/3/389

Internet

https://www.mdpi.com/2072-4292/13/3/389

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