[1] Lü C G, Huo Z Q, Liu Y G et al. Robust intrusion events recognition methodology for distributed optical fiber sensing perimeter security system[J]. IEEE Transactions on Instrumentation and Measurement, 70, 9505109(2021).
[2] Ma P F, Liu K, Jiang J F et al. Probabilistic event discrimination algorithm for fiber optic perimeter security systems[J]. Journal of Lightwave Technology, 36, 2069-2075(2018).
[3] Wang Z Y, Zheng H R, Li L C et al. Practical multi-class event classification approach for distributed vibration sensing using deep dual path network[J]. Optics Express, 27, 23682-23692(2019).
[4] Wang C, Liu Q W, Chen D et al. Monitoring pipeline leakage using fiber-optic distributed acoustic sensor[J]. Acta Optica Sinica, 39, 1006005(2019).
[5] Wu H J, Qian Y, Zhang W et al. Feature extraction and identification in distributed optical-fiber vibration sensing system for oil pipeline safety monitoring[J]. Photonic Sensors, 7, 305-310(2017).
[6] Williams E F, Fernández-Ruiz M R, Magalhaes R et al. Distributed sensing of microseisms and teleseisms with submarine dark fibers[J]. Nature Communications, 10, 5778(2019).
[7] Ide S, Araki E, Matsumoto H. Very broadband strain-rate measurements along a submarine fiber-optic cable off Cape Muroto, Nankai subduction zone, Japan[J]. Earth, Planets and Space, 73, 1-10(2021).
[8] Kandamali D F, Cao X M, Tian M L et al. Machine learning methods for identification and classification of events in φ-OTDR systems: a review[J]. Applied Optics, 61, 2975-2997(2022).
[9] Zhu H, Pan C, Sun X H. Vibration pattern recognition and classification in OTDR based distributed optical-fiber vibration sensing system[J]. Proceedings of SPIE, 9062, 906205(2014).
[10] Adeel M, Shang C, Hu D Y et al. Impact-based feature extraction utilizing differential signals of phase-sensitive OTDR[J]. Journal of Lightwave Technology, 38, 2539-2546(2020).
[11] Shiloh L, Eyal A, Giryes R. Efficient processing of distributed acoustic sensing data using a deep learning approach[J]. Journal of Lightwave Technology, 37, 4755-4762(2019).
[12] Wang M N, Deng L, Zhong Y Z et al. Rapid response DAS denoising method based on deep learning[J]. Journal of Lightwave Technology, 39, 2583-2593(2021).
[13] Xu W J, Yu F H, Liu S Q et al. Real-time multi-class disturbance detection for φ-OTDR based on YOLO algorithm[J]. Sensors, 22, 1994(2022).
[14] Liu K, Sun Z S, Jiang J F et al. A combined events recognition scheme using hybrid features in distributed optical fiber vibration sensing system[J]. IEEE Access, 7, 105609-105616(2019).
[15] Wu J, Guan L Y, Bao M et al. Vibration events recognition of optical fiber based on multi-scale 1-D CNN[J]. Opto-Electronic Engineering, 46, 180493(2019).
[16] Xu C J, Guan J J, Bao M et al. Pattern recognition based on time-frequency analysis and convolutional neural networks for vibrational events in φ-OTDR[J]. Optical Engineering, 57, 016103(2018).
[17] Almeida L B. The fractional Fourier transform and time-frequency representations[J]. IEEE Transactions on Signal Processing, 42, 3084-3091(1994).
[19] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).
