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Conferences > CLEO_SI > 2021 > JW1A > JW1A.119

High Accuracy Intrusion Pattern Recognition using a Dual-Stage-Recognition Network for Fiber Optic Distributed Sensing System

Tao He, Yijie Liu, Shixiong Zhang, Zhijun Yan, Deming Liu, and Qizhen Sun

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Abstract

A dual-stage-recognition network combined with the fiber optic DAS system is designed to realize a high accuracy intrusion pattern recognition in practical complicated environments. Field test is performed to verify an average recognition accuracy rate of 97.04% for five typical events including animals, human and mechanical movement.

© 2021 The Author(s)

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