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TOMAŠOV, A.; ZÁVIŠKA, P.; SPURNÝ, V.; DEJDAR, P.; MÜNSTER, P.; HORVÁTH, T.; KLÍČNÍK, O.
Original Title
Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The paper introduces an enhanced method combining Φ-OTDR and CNNs for an accurate object classification for perimeter protection. The proposed approach achieves an accuracy of 91 % of common events in the optical fiber vicinity.
English abstract
Keywords
Convolutional Neural Networks;Distributed Acoustic Sensing;Event Classification;Perimeter Protection;Phase-sensitive Optical Time-Domain Reflectometry
Key words in English
Authors
RIV year
2025
Released
16.02.2024
Location
Hamamatsu, Japan
ISBN
978-1-957171-30-2
Book
In Prociideings of 28th International Conference on Optical Fiber Sensors
Pages count
4
URL
https://opg.optica.org/abstract.cfm?uri=OFS-2023-W4.39
BibTex
@inproceedings{BUT185620, author="Adrián {Tomašov} and Pavel {Záviška} and Vladimír {Spurný} and Petr {Dejdar} and Petr {Münster} and Tomáš {Horváth} and Ondřej {Klíčník}", title="Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification", booktitle="In Prociideings of 28th International Conference on Optical Fiber Sensors", year="2024", pages="4", address="Hamamatsu, Japan", doi="10.1364/OFS.2023.W4.39", isbn="978-1-957171-30-2", url="https://opg.optica.org/abstract.cfm?uri=OFS-2023-W4.39" }