TY - GEN
T1 - Enhanced Vibration Recognition via Multi-Domain Fusion and Attention-Based FCN in Φ-OTDR Systems
AU - Yang, Bang
AU - Wang, Shangyi
AU - Yang, Pengxi
AU - Tang, Jianwei
AU - Gao, Shuang
AU - Yao, Yong
AU - Yang, Yanfu
N1 - Publisher Copyright:
© Optica Publishing Group 2025 © 2025 The Author(s)
PY - 2025
Y1 - 2025
N2 - Based on the fusion of multi-domain information, a fully-convolutional neural network with channel attention and spatial attention effectively enhances vibration recognition accuracy in Φ-OTDR systems, achieving a vibration event recognition accuracy of 96.8% within the network inference latency of 1 ms.
AB - Based on the fusion of multi-domain information, a fully-convolutional neural network with channel attention and spatial attention effectively enhances vibration recognition accuracy in Φ-OTDR systems, achieving a vibration event recognition accuracy of 96.8% within the network inference latency of 1 ms.
UR - https://www.scopus.com/pages/publications/105032424198
U2 - 10.1364/FIO.2025.FV7A.3
DO - 10.1364/FIO.2025.FV7A.3
M3 - 会议稿件
AN - SCOPUS:105032424198
T3 - Frontiers in Optics, FiO 2025 in Proceedings Frontiers in Optics + Laser Science 2025 ,FiO, LS - Part of Frontiers in Optics + Laser Science 2025
BT - Frontiers in Optics, FiO 2025 in Proceedings Frontiers in Optics + Laser Science 2025 ,FiO, LS - Part of Frontiers in Optics + Laser Science 2025
PB - Optical Society of America
T2 - 2025 Frontiers in Optics, FiO 2025
Y2 - 26 October 2025 through 30 October 2025
ER -