Spectroscopy and Spectral Analysis, Volume. 41, Issue 5, 1436(2021)

Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation

CUI Fang-xiao1、*, ZHAO Yue2, MA Feng-xiang2, WU Jun1, WANG An-jing1, LI Da-cheng1, and LI Yang-yu1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(8)

    [1] [1] Samer Sabbah, Peter Rusch, Joern-Hinnrich Gerhard, et al. Proceedings of SPIE, 2013, 8743(17): 1.

    [2] [2] David M Tratt, Kerry N Buckland, Jeffrey L Hall, et al. Remote Sensing of Environment, 2014, 154: 74.

    [3] [3] Flanigan D F. Applied Optics, 1996, 35(30): 6090.

    [4] [4] Mao J P, Kawa S R. Applied Optics, 2004, 43(4): 914.

    [5] [5] Roland Harig. Appied Optics, 2004, 43(23): 4603.

    [8] [8] Hase F, Blumenstock T, Paton-Walsh C. Applied Optics, 1999, 38(15): 3417.

    [9] [9] Simon Turbide, Tracy Smithson. Applied Optics, 2010, 49(17): 3411.

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    CUI Fang-xiao, ZHAO Yue, MA Feng-xiang, WU Jun, WANG An-jing, LI Da-cheng, LI Yang-yu. Optimization of FTIR Passive Remote Sensing Signal-to-Noise Ratio and Its Application in SF6 Leak Detection in Transform Substation[J]. Spectroscopy and Spectral Analysis, 2021, 41(5): 1436

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    Paper Information

    Received: May. 6, 2020

    Accepted: --

    Published Online: May. 14, 2021

    The Author Email: Fang-xiao CUI (fxcui@aiofm.ac.cn)

    DOI:10.3964/j.issn.1000-0593(2021)05-1436-05

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