Deep Learning to Overcome Non-Local Effect in Brillouin Optical Time-Domain Analysis-Reference-Cited by-同舟云学术

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Deep Learning to Overcome Non-Local Effect in Brillouin Optical Time-Domain Analysis

Published:2024-08-15 Issue:16 Volume:42 Page:5724-5735
ISSN:0733-8724
Container-title:Journal of Lightwave Technology
language:
Short-container-title:J. Lightwave Technol.

Author:

Qian Yuhao¹,Yang Guijiang¹,Lian Zhenggang²^ORCID,Liu Deming¹^ORCID,Wang Liang¹^ORCID,Tang Ming¹^ORCID

Affiliation:

1. National Engineering Laboratory for Next Generation Internet Access System, School of Optics and Electronic Information & Wuhan National Lab for Optoelectronics (WNLO), Huazhong University of Science and Technology, Wuhan, China

2. Yangtze Optical Electronic Company Ltd., Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Science Foundation of Donghai Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/50/10612799/10510558.pdf?arnumber=10510558

Reference20 articles.

1. Truly distributed strain and temperature sensing using embedded optical fibers

2. [INVITED] State of the art of Brillouin fiber-optic distributed sensing

3. Distributed Brillouin Sensing: Time-Domain Techniques

4. Brillouin Distributed Fiber Sensors: An Overview and Applications

5. Recent Progress in Distributed Fiber Optic Sensors

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