Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/106943
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Title: Processing differential Brillouin gain spectrum by support vector machine in DPP-BOTDA
Authors: Wu, H
Wang, L 
Zhao, Z 
Guo, N
Shu, C
Lu, C 
Issue Date: 2018
Source: CLEO Pacific Rim Conference 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Th2L.4
Abstract: SVM has been applied to successfully extract temperature from differential BGSs in DPP-BOTDA of different spatial resolution. Compared with LCF, SVM has better performance under high spatial resolution and low SNR with shorter processing time.
Publisher: Optica Publishing Group
ISBN: 978-1-943580-45-3
DOI: 10.1364/cleopr.2018.th2l.4
Description: Conference on Lasers and Electro-Optics/Pacific Rim 2018, Hong Kong China, 29 July-3 August 2018
Rights: © 2018 The Author(s)
The following publication H. Wu, L. Wang, Z. Zhao, N. Guo, C. Shu, and C. Lu, "Processing Differential Brillouin Gain Spectrum by Support Vector Machine in DPP-BOTDA," in CLEO Pacific Rim Conference 2018, OSA Technical Digest (Optica Publishing Group, 2018), paper Th2L. is available at https://doi.org/10.1364/CLEOPR.2018.Th2L.4.
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