Rapid Response DAS Denoising Method Based on Deep Learning-Reference-Cited by-同舟云学术

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Rapid Response DAS Denoising Method Based on Deep Learning

Published:2021-04-15 Issue:8 Volume:39 Page:2583-2593
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Wang Maoning,Deng Lin^ORCID,Zhong Yuzhong,Zhang Jianwei^ORCID,Peng Fei^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Sichuan Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/50/9385571/09328303.pdf?arnumber=9328303

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. 2D-SenseNet: A Simultaneous Demodulation and Denoising Network for DAS;IEEE Transactions on Instrumentation and Measurement;2024

2. Analysis of DAS Seismic Noise Generation and Elimination Process Based on Mean-SDE Diffusion Model;IEEE Transactions on Geoscience and Remote Sensing;2024

3. 基于分数阶傅里叶变换的分布式光纤振动识别;Laser & Optoelectronics Progress;2024

4. Online Mean Estimation for Multi-Frame Optical Fiber Signals on Highways;2024

5. Deep-Learning-Based Simultaneous Demodulation and Denoising for $\Phi$-OTDR;2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings (ACP/POEM);2023-11-04

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