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A feed-forward image denoising convolutional neural networks is exploited to enhance the signal-to-noise ratio of ROTDR (~13.4 dB) without loss of measurement accuracy (temperature uncertainty and spatial resolution), even at low sampling rates.
© 2018 The Author(s)
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