Automatic Identification of High-Quality Channels in Distributed Acoustic Sensing Through Implementation of a Channel Quality Index

Automatic Identification of High-Quality Channels in Distributed Acoustic Sensing Through Implementation of a Channel Quality Index

Using fiber-optic cables, distributed acoustic sensing (DAS) has emerged as a powerful technology for seismic monitoring, particularly in oceanic regions, but the massive amount of data generated presents challenges for its integration into operational seismic networks. However, since the quality of...

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Bibliographic Details
Main Authors: Tatiana Rodriguez, Aleix Segui, Arantza Ugalde, Melania Cubas Armas, Hugo Latorre, Sergi Ventosa, Tony Monfret
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Fiber-optic sensing
machine learning
offshore seismicity
seismic monitoring
Online Access:https://ieeexplore.ieee.org/document/11098723/
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