Denoising of Brillouin Gain Spectrum Images for Improved Dynamic Measurements of BOTDR-Reference-Cited by-同舟云学术

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Denoising of Brillouin Gain Spectrum Images for Improved Dynamic Measurements of BOTDR

Published:2023-08 Issue:4 Volume:15 Page:1-8
ISSN:1943-0655
Container-title:IEEE Photonics Journal
language:
Short-container-title:IEEE Photonics J.

Author:

Li Bo¹^ORCID,Jiang Ningjun²^ORCID,Han Xiaole³^ORCID

Affiliation:

1. Department of Engineering, University of Cambridge, Cambridge, U.K.

2. Institute of Geotechnical Engineering, Southeast University, Nanjing, China

3. Department of Civil and Environmental Engineering, University of Hawaii at Manoa, Honolulu, HI, USA

Funder

Hawaii Department of Transportation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

http://xplorestaging.ieee.org/ielx7/4563994/10155277/10171342.pdf?arnumber=10171342

Reference19 articles.

1. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

2. Improvement of learning for CNN with ReLU activation by sparse regularization

3. Denoising of BOTDR Dynamic Strain Measurement Using Convolutional Neural Networks

4. An introductory review of deep learning for prediction models with Big Data;frank;Frontiers in Artificial Intellingence,2020

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1. An Image Processing-Based Correlation Method for Improving the Characteristics of Brillouin Frequency Shift Extraction in Distributed Fiber Optic Sensors;Algorithms;2024-08-20

2. Reconfigurable metasurface array for diverse retrodirective reflections and radar cross section reduction;Nanophotonics;2024-06-17

3. Performance Enhancement in a Few-Mode Rayleigh-Brillouin Optical Time Domain Analysis System Using Pulse Coding and LMD Algorithm;Photonics;2024-03-27

4. 分布式布里渊光纤传感系统中的数字信号处理技术研究进展;Acta Optica Sinica;2024

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