Processing Differential Brillouin Gain Spectrum by Support Vector Machine in DPP-BOTDA

2018 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR) Pub Date : 2018-07-29 DOI:10.1364/CLEOPR.2018.TH2L.4

Huan Wu, Liang Wang, Zhiyong Zhao, N. Guo, C. Shu, Chao Lu

引用次数: 0

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.

查看原文本刊更多论文

DPP-BOTDA支持向量机处理差分布里渊增益谱

应用支持向量机成功提取了不同空间分辨率DPP-BOTDA差分bgs的温度。与LCF相比，SVM在高空间分辨率和低信噪比下具有更好的性能，且处理时间更短。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2018 Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)

自引率

0.00%

发文量