Denoising-driven information extraction network (DENet) for Brillouin optical time-domain analyzer

•DENet integrates denoising and information extraction for BOTDA, enabling real-time processing.•Achieves high-fidelity results on low signal-to-noise ratio BGS without time-consuming curve fitting method.•Data processing is faster than acquisition, outperforms state-of-the-art methods in speed, acc...

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Bibliographic Details

Published in:	Measurement : journal of the International Measurement Confederation Vol. 256; p. 118242
Main Authors:	Zhang, Zhihao, Zhu, Borong, Qian, Yuhao, Wang, Liang, Ma, Xiaole, Yu, Kuanglu
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2025
Subjects:	Brillouin distributed fiber optic sensor Brillouin gain spectra Convolutional denoising autoencoder Image denoising Real-time information extraction Brillouin gain spectra Real-time information extraction Convolutional denoising autoencoder Brillouin distributed fiber optic sensor Image denoising
ISSN:	0263-2241
Online Access:	Get full text
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