Improving Φ-OTDR Event Classification Performance with a Semi-Supervised Model

Yujiao Li; Yujiao Li; Kuanglu Yu; Kuanglu Yu

doi:10.1364/OFS.2023.Th6.63

28th International Conference on Optical Fiber Sensors
Technical Digest Series (Optica Publishing Group, 2023),
paper Th6.63
•https://doi.org/10.1364/OFS.2023.Th6.63

Improving Φ-OTDR Event Classification Performance with a Semi-Supervised Model

Yujiao Li and Kuanglu Yu

Optical Fiber Sensors 2023

Naka-ku, Hamamatsu-shi Japan
20–24 November 2023
ISBN: 978-1-957171-30-2

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Poster Session III (Th6)

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Y. Li and K. Yu, "Improving Φ-OTDR Event Classification Performance with a Semi-Supervised Model," in 28th International Conference on Optical Fiber Sensors, Technical Digest Series (Optica Publishing Group, 2023), paper Th6.63.

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Abstract

We design a semi-supervised model based on XM-ACAB for Φ-OTDR event classification. The accuracy for six types of events can reach up to 91.0% with a total of only 12 labeled samples in the experiment.

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