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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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 256; S. 118242
Hauptverfasser:	Zhang, Zhihao, Zhu, Borong, Qian, Yuhao, Wang, Liang, Ma, Xiaole, Yu, Kuanglu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.12.2025
Schlagworte:	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-Zugang:	Volltext
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