Classifying space-time images obtained from distributed acoustic sensing
Classifying space-time images obtained from distributed acoustic sensing
In this paper we present a classifier that was trained on space-time images obtained from distributed acoustic sensing, for the purpose of monitoring earthquakes. The model is capable of discriminating between actual and non-earthquake events.
Matthaiou, Ioannis
7855a890-8929-4c90-a08c-9672fd7f6fda
Masoudi, Ali
8073fb9b-2e6c-46c9-89cf-cb8670d76dc0
Araki, Eiichiro
48fe1389-0977-456f-bc3e-5ba2f3a96d02
Modafferi, Stefano
2f15a6fa-a4c3-4f43-998f-df7d88f08a78
Brambilla, Gilberto
815d9712-62c7-47d1-8860-9451a363a6c8
31 July 2023
Matthaiou, Ioannis
7855a890-8929-4c90-a08c-9672fd7f6fda
Masoudi, Ali
8073fb9b-2e6c-46c9-89cf-cb8670d76dc0
Araki, Eiichiro
48fe1389-0977-456f-bc3e-5ba2f3a96d02
Modafferi, Stefano
2f15a6fa-a4c3-4f43-998f-df7d88f08a78
Brambilla, Gilberto
815d9712-62c7-47d1-8860-9451a363a6c8
Matthaiou, Ioannis, Masoudi, Ali, Araki, Eiichiro, Modafferi, Stefano and Brambilla, Gilberto
(2023)
Classifying space-time images obtained from distributed acoustic sensing.
In Proceedings Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES).
Optica Publishing Group..
(doi:10.1364/ES.2023.ETu3E.2).
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Conference or Workshop Item
(Paper)
Abstract
In this paper we present a classifier that was trained on space-time images obtained from distributed acoustic sensing, for the purpose of monitoring earthquakes. The model is capable of discriminating between actual and non-earthquake events.
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Published date: 31 July 2023
Venue - Dates:
2023 Optics and Photonics for Sensing the Environment, ES 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023, , Munich, Germany, 2023-07-30 - 2023-08-03
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Local EPrints ID: 481808
URI: http://eprints.soton.ac.uk/id/eprint/481808
PURE UUID: fbf1a91f-6325-4089-842b-d0c3cf66cd4e
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Date deposited: 08 Sep 2023 16:41
Last modified: 16 Jul 2024 02:04
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