A Novel DAS Signal Recognition Method Based on Spatiotemporal Information Extraction With 1DCNNs-BiLSTM Network

Extracting more and more accurate information to understand the detected vibration or acoustic targets better, has always been an important goal in signal recognition for Distributed Acoustic Sensor(DAS) with optical fiber. In this paper, we use one-dimensional Convolution Neural Networks(1D-CNNs) t...

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Bibliographic Details
Main Authors: Huijuan Wu, Mingru Yang, Siqi Yang, Hao Lu, Chaoqun Wang, Yunjiang Rao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
DAS
CNN
Online Access:https://ieeexplore.ieee.org/document/9122536/