Chinese Journal of Lasers, Volume. 52, Issue 1, 0106008(2025)

Pattern Recognition of Φ‑OTDR Signals Based on Markov Transition Field

Lang Mei1,2, Can Guo1,3, and Lei Liang1,4、*
Author Affiliations
  • 1National Engineering Research Center for Optical Fiber Sensing Technology and Network, Wuhan 430070, Hubei , China
  • 2Department of Physics, School of Science, Wuhan University of Technology, Wuhan 430070, Hubei , China
  • 3School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, Hubei , China
  • 4School of Mechanical and Electrical Engineering, Wuhan University of Technology, Wuhan 430070, Hubei , China
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    References(29)

    [6] Song W Q, Ding Z W, Mao B N et al. Similar-signal recognition method for ϕ-OTDR systems based on multiscale feature fusion[J]. Chinese Journal of Lasers, 51, 0606001(2024).

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    [13] Shang Q F, Fan X K, Gu Y Y et al. Transmission line state recognition method based on two-branch CNN structure and multi-attention mechanism[J]. Acta Optica Sinica, 44, 2206003(2024).

    [18] Wang Z, Oates T. Imaging time-series to improve classification and imputation[C]. Argentina, 25-31(2015).

    [21] Ji C P, Deng W, Dai W. Markov transfer field combined with modified MobileNetV2 for arrhythmia classification[J]. Chinese Journal of Medical Physics, 40, 1395-1401(2023).

    [24] Zhu Z J, Wang N. Pattern recognition of Φ-OTDR system based on PSO-SVM[J]. Science Technology and Engineering, 24, 5023-5029(2024).

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    Lang Mei, Can Guo, Lei Liang. Pattern Recognition of Φ‑OTDR Signals Based on Markov Transition Field[J]. Chinese Journal of Lasers, 2025, 52(1): 0106008

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    Paper Information

    Category: Fiber optics and optical communication

    Received: Jun. 28, 2024

    Accepted: Sep. 14, 2024

    Published Online: Jan. 20, 2025

    The Author Email: Lei Liang (l30l30@126.com)

    DOI:10.3788/CJL241014

    CSTR:32183.14.CJL241014

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