Acta Optica Sinica, Volume. 39, Issue 5, 0530003(2019)

Adaptive Feature Extraction Algorithm Based on Lasso Method for Detecting Polluted Gas

Fangxiao Cui, Dacheng Li*, [in Chinese], Anjing Wang, and Yangyu Li
Author Affiliations
  • Anhui Institute of Optics and Fine Mechanics, Anhui Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China
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    Figures & Tables(14)
    Schematic of passive infrared remote sensing of polluted gases
    Schematic of experimental instrument
    Simulated spectra under different CPL values. (a) Spectra of methane; (b) spectra of water vapor
    Measured and simulated spectra. (a) Brightness temperature spectra of brick wall and low elevation sky backgrounds; (b) simulated transmittance spectra by MODTRAN
    Fitting results by proposed method and Harig's method. (a) Brick wall background; (b) low elevation sky background
    Reconstructed background spectra by proposed method and Harig's method. (a) Brick wall background; (b) low elevation sky background
    Extracted features and correlation coefficients by proposed method and Harig's method. (a) Brick wall background; (b) low elevation sky background
    Measured spectra and simulated spectra under different relative humidity conditions. (a) Measured spectra; (b) simulated transmittance spectra by MODTRAN
    Comparation between reconstructed backgrounds and extracted features by two methods under different relative humidities. (a) Measured spectrum and reconstructed backgrounds by two methods under relative humidity of 67%; (b) reference spectrum and extracted features by two methods corresponding to (a); (c) measured spectrum and reconstructed backgrounds by two methods under relative humidity of 56%; (d) reference spectrum and extracted features by two methods corresponding to (c); (e) measured sp
    Comparison of measured spectra and simulated spectra of ethylene. (a) Brightness temperature spectra of ethylene at different stages of release; (b) simulated transmittance spectra of ethylene under different CPL values
    Spectra of ethylene at different stages of release. (a) Spectra of ethylene at early stage of release and reconstructed backgrounds by two methods; (b) reference spectrum and extracted features by two methods corresponding to (a); (c) spectra of ethylene at middle stage of release and reconstructed backgrounds by two methods; (d) reference spectrum and extracted features by two methods corresponding to (c); (e) spectra of ethylene at end stage of release and reconstructed backgrounds by two meth
    • Table 1. Parameters of experimental instrument

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      Table 1. Parameters of experimental instrument

      ParameterSpecification
      Spectral resolution /cm-14
      Working spectral range /cm-11400-700
      Detector typeStirling MCT detector
      Noise equivalent temperature(TNE) /mK80
      Detection distance /km3-5
      View angle /mrad30
      Azimuthal angle /(°)0-360
      Elevation angle /(°)±45
      Angle resolution /(°)0.01°
    • Table 2. Simulated CPL values of methane and water vapor

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      Table 2. Simulated CPL values of methane and water vapor

      No.CPL /(10-6 m)
      MethaneWater vapor
      13.94×103.61×104
      21.40×1031.30×104
      33.59×1031.37×104
      49.03×1034.63×105
      51.81×1041.19×106
      63.61×1042.99×106
      75.98×106
    • Table 3. Regression coefficients of reference spectra for brick wall and sky background

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      Table 3. Regression coefficients of reference spectra for brick wall and sky background

      TypeMethaneWater vaporGaussian function
      No.1No.2No.3No.4No.5No.6No.1No.2No.3No.4No.5No.6No.7
      Brick wall04.100-13.64-18.0413.18-19.78023.78-0.0015-1.97-12.46-2.221.15-5.29
      Sky00.860.29-7.29-3.465.220-2.17-1.181.390-6.123.751.041.78
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    Fangxiao Cui, Dacheng Li, [in Chinese], Anjing Wang, Yangyu Li. Adaptive Feature Extraction Algorithm Based on Lasso Method for Detecting Polluted Gas[J]. Acta Optica Sinica, 2019, 39(5): 0530003

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    Paper Information

    Category: Spectroscopy

    Received: Oct. 23, 2018

    Accepted: Jan. 29, 2019

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0530003

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