Batch-renormalization denoising network for SNR enhancement of BOTDA

Kuo Luo; Yuyao Wang; Borong Zhu; Kuanglu Yu

doi:10.1117/12.2691494

27 September 2023 Batch-renormalization denoising network for SNR enhancement of BOTDA

Kuo Luo, Yuyao Wang, Borong Zhu, Kuanglu Yu

Proceedings Volume 12813, Asia-Pacific Optical Sensors Conference (APOS 2023); 1281302 (2023) https://doi.org/10.1117/12.2691494
Event: Asia Pacific Optical Sensors Conference 2023, 2023, Tianjin, China

Abstract

A denoising convolutional neural network based on batch-renormalization (BRDNet) is proposed to denoise Brillouinga in spectrum, and its performance is compared with CNN-based denoising network (DnCNN). Experimental results show that BRDNet can improve the signal-to-noise ratio (SNR) of 15dB and obtain higher measurement accuracy than DnCNN.

Citation Download Citation

Kuo Luo, Yuyao Wang, Borong Zhu, and Kuanglu Yu "Batch-renormalization denoising network for SNR enhancement of BOTDA", Proc. SPIE 12813, Asia-Pacific Optical Sensors Conference (APOS 2023), 1281302 (27 September 2023); https://doi.org/10.1117/12.2691494

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