Acta Optica Sinica, Volume. 44, Issue 12, 1228008(2024)

Remote Sensing Monitoring Method of Ship Exhaust Based on Background Image Reconstruction

Weiwei He, Haochen Yuan, Jianjun Guo, Zihao Zhang, Huiliang Zhang, Yikang Zhang, Wei Zhou, and Kuijun Wu*
Author Affiliations
  • School of Physics and Electronic Information, Yantai University, Yantai 264005, Shandong , China
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    Figures & Tables(12)
    Normalized SO2 absorption cross-section and filter transmittance curves
    Comparison of acquisition information field of view. (a) Schematic of the field of view of the information acquired by four-image method; (b) schematic of the field of view of the information acquired by image reconstruction method
    Self-developed experimental instrument for remote sensing monitoring of ship exhaust. (a) Field test site situation; (b) experimental prototype of ship exhaust imaging remote sensing monitoring system
    Geographic orientation map of the experimental site, where the dot indicates the target pollution source and the triangle represents the measurement location
    Process comparison of image reconstruction method and four-image method
    Background fitting process for image reconstruction method. (a) Original image; (b) plume characteristic rejection; (c) comparison of the actual signal strength with the fitting signal strength; (d) background image obtained by fitting
    SO2 column concentration inversion results of ship exhaust. (a) SO2 column concentration inversion results of four-image method; (b) vertical pixel intensities at different locations obtained by four-image method; (c) SO2 column concentration inversion results of image reconstruction method; (d) vertical pixel intensities at different locations obtained by image reconstruction method
    Comparison of three groups of SO2 column concentration inversion results. (a) SO2 column concentration inversion results of four-image method; (b) SO2 column concentration inversion results of image reconstruction method
    Comparison of sky background variation between image reconstruction method and traditional method
    Comparison of emission rates between four-image and image reconstruction methods
    • Table 1. Specific parameters for remote sensing monitoring system of ship exhaust

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      Table 1. Specific parameters for remote sensing monitoring system of ship exhaust

      InstrumentFeatureParameter
      CameraImage resolution1024 pixel×1024 pixel
      Image size6.5 μm×6.5 μm
      Frame rateHigh dynamic mode: 74 frame/s @ CameraLink
      Readout noiseCMS: 1.1 electrons (median), 1.2 electrons (RMS)
      Exposure time6.6 μs-10 s
      Camera shotMonitoring range105 mm
      Field of view9.8°
      Optical size18 mm
      Optical filterOptical filter ACentre wavelength: 310 nm
      Optical filter BCentre wavelength: 330 nm
    • Table 2. Percentage of each error for SO2 emission rate

      View table

      Table 2. Percentage of each error for SO2 emission rate

      Source of error

      method /%

      Error percentageof four-image

      method /%

      Error percentageof image reconstruction

      Calibration factor0.1160.027
      Optical thickness8.4836.057
      Plume velocity0.4050.096
      Detection distance0.4450.017
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    Weiwei He, Haochen Yuan, Jianjun Guo, Zihao Zhang, Huiliang Zhang, Yikang Zhang, Wei Zhou, Kuijun Wu. Remote Sensing Monitoring Method of Ship Exhaust Based on Background Image Reconstruction[J]. Acta Optica Sinica, 2024, 44(12): 1228008

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Dec. 5, 2023

    Accepted: Apr. 12, 2024

    Published Online: Jun. 17, 2024

    The Author Email: Wu Kuijun (wukuijun@ytu.edu.cn)

    DOI:10.3788/AOS231889

    CSTR:32393.14.AOS231889

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