Enhancing Perimeter Protection using Φ-OTDR and CNN for Event Classification

Result type
conference paper
Description
The paper introduces an enhanced method combining Φ-OTDR and CNNs for an accurate object classification for perimeter protection. The proposed approach achieves an accuracy of 91 % of common events in the optical fiber vicinity.
Keywords
Convolutional neural networks
Distributed Acoustic Sensing
event classification
Perimeter Protection
Phase-sensitive Optical Time-Domain Reflectometry