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Spatial Resolution Improvement of a Long Pulse BOTDA Sensor Using a Convolutional Neural Network

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Abstract

A convolutional neural network is proposed to process Brillouin gain spectrum, enabling extract a spatial-resolution higher than the used pump pulse width determined theoretical spatial-resolution. A 0.5-m hotspot is accurately retrieved using 40-ns pump pulse.

© 2021 The Author(s)

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