Acta Optica Sinica, Volume. 44, Issue 18, 1812001(2024)

Estimation of Gas Velocity in Optical Gas Imaging Based on Deep Optical Flow Network

Xiaoyu Gu, Xiaojing Gu*, Jie Ding, and Xingsheng Gu
Author Affiliations
  • Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China
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    References(30)

    [2] Gu X J, Lin H Q, Ding D W et al. An infrared gas imaging and instance segmentation based gas leakage detection method[J]. Journal of East China University of Science and Technology, 49, 76-86(2023).

    [11] Teng J H, Zhang Y G, Ai Y et al. Research and verification of gas displacement calculation model based on optical flow method[J]. Optics & Optoelectronic Technology, 19, 9-14(2021).

    [12] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2012).

    [22] Tomczak L J. GPU ray marching of distance fields[D], 8(2012).

    [24] Li J K. Research on the theory and method of passive gas leak infrared imaging detection[D](2015).

    [26] Qi R B, He S K, Li X T et al. Simulation of TDLAS direct absorption based on HITRAN database[J]. Spectroscopy and Spectral Analysis, 35, 172(2015).

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    Xiaoyu Gu, Xiaojing Gu, Jie Ding, Xingsheng Gu. Estimation of Gas Velocity in Optical Gas Imaging Based on Deep Optical Flow Network[J]. Acta Optica Sinica, 2024, 44(18): 1812001

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Jan. 31, 2024

    Accepted: Mar. 12, 2024

    Published Online: Sep. 11, 2024

    The Author Email: Gu Xiaojing (xjing.gu@ecust.edu.cn)

    DOI:10.3788/AOS240598

    CSTR:32393.14.AOS240598

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