• Infrared and Laser Engineering
  • Vol. 50, Issue 4, 20200250 (2021)
Yunke Zhang1, Dengfeng Ren1、*, Yuge Han1, and Jiyuan Li2
Author Affiliations
  • 1School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2School of Instrumentation and Optoelectronics Engineering, Beihang University, Beijing 100191, China
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    DOI: 10.3788/IRLA20200250 Cite this Article
    Yunke Zhang, Dengfeng Ren, Yuge Han, Jiyuan Li. Air target reference spectrum selection based on characteristic wavelengths extracted by successive projections algorithm[J]. Infrared and Laser Engineering, 2021, 50(4): 20200250 Copy Citation Text show less
    Computation domain and boundary conditions
    Fig. 1. Computation domain and boundary conditions
    Schematic diagram of air target detection
    Fig. 2. Schematic diagram of air target detection
    Layers of plume
    Fig. 3. Layers of plume
    Comparison of simulation and experimental results
    Fig. 4. Comparison of simulation and experimental results
    Schematic diagram of detection angles
    Fig. 5. Schematic diagram of detection angles
    Composition of the air target spectrum
    Fig. 6. Composition of the air target spectrum
    Normalized spectra
    Fig. 7. Normalized spectra
    RSDE of spectral similarity measures
    Fig. 8. RSDE of spectral similarity measures
    Distribution of characteristic wavelengths
    Fig. 9. Distribution of characteristic wavelengths
    Normalized spectra of target A at different flying heights
    Fig. 10. Normalized spectra of target A at different flying heights
    Normalized spectra of target A at different flying time
    Fig. 11. Normalized spectra of target A at different flying time
    ParametersAircraft AAircraft B
    Flying height of 5 kmFlying height of 10 kmFlying height of 5 kmFlying height of 10 km
    T*/K 73665310931012
    p*/Pa 249985126009495003273214
    Mole fractionsCO20.0230.0210.0430.038
    H2O 0.0220.0200.0410.038
    O20.1730.1770.1430.147
    Table 1. [in Chinese]
    WavelengthsItemSAMSIDSID (TAN)
    3-5 μms117741698635
    s2197200.8292
    s327411608948
    s4528766748416
    Entropy467338102364
    8-14 μms1369652646168
    s2972331102
    s3274123882074
    s425912 0181656
    Entropy564248444208
    Table 2. [in Chinese]
    WavelengthsItemt1t2t3t4
    Characteristic wavelengthss10.674630631258032
    s21600.376115683075
    s31584106212655
    s448391 9701317.3441
    Full wavelengthss10.09688010515994
    s2540.10443252456
    s3418119131055
    s42872105917119
    Table 3. [in Chinese]
    WavelengthsItemt1t2t3t4
    Characteristic wavelengthss10.02769.48097.925312
    s27.89530.03250.43220.4315
    s37.95131.7850.02460.2363
    s4130.74000.00880.0263
    Full wavelengthss10.02261.53451.88952.5380
    s21.12680.02530.10630.1251
    s32.07350.51610.01490.0536
    s42.52610.41210.00600.0157
    Table 4. [in Chinese]
    WavelengthsItem90°180°
    3-5 μmA231233221
    B317302297
    8-14 μmA6.87356.45415.7993
    B0.04030.03020.0318
    Table 5. [in Chinese]
    WavelengthsItem90°180°
    3-5 μmA1.99662.90613.0677
    B1464105
    8-14 μmA000
    B0.000200
    Table 6. [in Chinese]
    Yunke Zhang, Dengfeng Ren, Yuge Han, Jiyuan Li. Air target reference spectrum selection based on characteristic wavelengths extracted by successive projections algorithm[J]. Infrared and Laser Engineering, 2021, 50(4): 20200250
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