• Acta Optica Sinica
  • Vol. 42, Issue 9, 0911002 (2022)
Jing Weng1, Pan Yuan1, Minghe Wang1, Li Li1、*, Weiqi Jin1、2, Wei Cao2, and Bingcai Sun3
Author Affiliations
  • 1MoE Key Lab of Photoelectronic Imaging Technology and System, Beijing Institute of Technology, Beijing 100081, China
  • 2Beijing Wisdom Sharing Technical Co., Ltd., Beijing 100125, China
  • 3CNPC Research Institute of Safety & Environment Technology, Beijing 102206, China;
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    DOI: 10.3788/AOS202242.0911002 Cite this Article Set citation alerts
    Jing Weng, Pan Yuan, Minghe Wang, Li Li, Weiqi Jin, Wei Cao, Bingcai Sun. Thermal Imaging Detection Method of Leak Gas Clouds Based on Support Vector Machine[J]. Acta Optica Sinica, 2022, 42(9): 0911002 Copy Citation Text show less
    References

    [1] Zhang X, Jin W Q, Li L et al. Research progress on passive infrared imaging detection technology and system performance evaluation of natural gas leakage[J]. Infrared and Laser Engineering, 48, S204001(2019).

    [2] Li J K, Jin W Q, Wang X et al. Review of gas leak infrared imaging detection technology[J]. Infrared Technology, 36, 513-520(2014).

    [3] Tan Y T, Li J K, Jin W Q et al. Model analysis of the sensitivity of single-point sensor and IRFPA detectors used in gas leakage detection[J]. Infrared and Laser Engineering, 43, 2489-2495(2014).

    [4] Zimmerle D, Vaughn T, Bell C et al. Detection limits of optical gas imaging for natural gas leak detection in realistic controlled conditions[J]. Environmental Science & Technology, 54, 11506-11514(2020).

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    Jing Weng, Pan Yuan, Minghe Wang, Li Li, Weiqi Jin, Wei Cao, Bingcai Sun. Thermal Imaging Detection Method of Leak Gas Clouds Based on Support Vector Machine[J]. Acta Optica Sinica, 2022, 42(9): 0911002
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