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

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