Volume 47 Issue S1
Jul.  2018
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Huang Da, Huang Shucai, Zhao Wei, Lu Yi. Selection of feature bands based on space-based detection[J]. Infrared and Laser Engineering, 2018, 47(S1): 166-171. doi: 10.3788/IRLA201847.S117005
Citation: Huang Da, Huang Shucai, Zhao Wei, Lu Yi. Selection of feature bands based on space-based detection[J]. Infrared and Laser Engineering, 2018, 47(S1): 166-171. doi: 10.3788/IRLA201847.S117005

Selection of feature bands based on space-based detection

doi: 10.3788/IRLA201847.S117005
  • Received Date: 2018-03-12
  • Rev Recd Date: 2018-05-18
  • Publish Date: 2018-06-25
  • The space-based missile early warning system has different detection effect in different bands, and it is very necessary to select the appropriate detection band. In this paper, 11 kinds of missile plume spectra were studied and analyzed in the 2-5 m. Many influential factors were considered, such as the plume height from the ground, the atmosphere and cloud radiation, atmosphere attenuation, etc.. Principle of selection is relatively stronger radiation of target, distance of target-to-earth from high to low, wave bands from more to less. The number of bands can be controlled by setting the threshold. Finally, the paper selected bands at the center wavelength of 2.99, 3.06, 3.12, 4.6, 4.62 m. According to matching rules to fit out image that contains the characteristics of the target spectral, and signal-to-noise ratio(SNR) was analyzed for characteristic spectral image and full wavelength image. The results show that when the target reaches a certain height, SNR of characteristic spectral image is higher than that of the whole wavelength image.
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    [2] Liu Zunyang, Shao Li, Wang Yafu, et al. Influence on after burning on infrared radiation of solid rocket exhaust plum[J]. Acta Optica Sinica, 2013, 33(6):0604001. (in Chinese)
    [3] Ye Qing, Sun Xiaoquan, Shao Li. Analysis of optimum detective wavebands for infrared early-warning satellite[J]. Infrared and Laser Engineering, 2010, 39(3):389-393. (in Chinese)
    [4] Yuan Zhiwei, Huang Shucai, Xiong Zhigang, et al. Application of characteristic plume spectra in recognition of boost phase ballistic target[J]. Acta Optica Sinica, 2017, 37(2):0230001. (in Chinese)
    [5] Xu Zhenya, Bai Xiaodong, Li Lijuan. Working band selection method for infrared detection system based on action distance[J]. Infrared, 2011, 32(3):23-28. (in Chinese)
    [6] Liu Zunyang, Shao Li, Wang Yafu, et al. A band selection method for infrared warning satellites based on radiation flux apparent constrast spectrum[J]. Journal of Infrared and Millimeter Wave, 2014, 33(5):492-497. (in Chinese)
    [7] Kuzmin V A, Maratkanova E I, Zagray I A, et al. Thermal radiation of heterogeneous combustion products in the model rocket engine plume[J]. Thermophysics and Aeromechanics, 2015, 22(3):371-386.
    [8] Wang Jing, Wang Lijiao, Cui Jiantao, et al. Band selection based on signal-to-noise ratio estimation and hyperspectral anomaly detection[J]. Remote Sensing Technology and Application, 2015, 30(2):292-297. (in Chinese)
    [9] Wang Yiting, Huang Shiqi, Liu Daizhi, et al. Novel band selection method based on target detection[J]. Infrared and Laser Engineering, 2013, 42(8):2294-2298. (in Chinese)
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Selection of feature bands based on space-based detection

doi: 10.3788/IRLA201847.S117005
  • 1. Air and Missile Defense College,Air Force Engineering University,Xi'an 710051,China

Abstract: The space-based missile early warning system has different detection effect in different bands, and it is very necessary to select the appropriate detection band. In this paper, 11 kinds of missile plume spectra were studied and analyzed in the 2-5 m. Many influential factors were considered, such as the plume height from the ground, the atmosphere and cloud radiation, atmosphere attenuation, etc.. Principle of selection is relatively stronger radiation of target, distance of target-to-earth from high to low, wave bands from more to less. The number of bands can be controlled by setting the threshold. Finally, the paper selected bands at the center wavelength of 2.99, 3.06, 3.12, 4.6, 4.62 m. According to matching rules to fit out image that contains the characteristics of the target spectral, and signal-to-noise ratio(SNR) was analyzed for characteristic spectral image and full wavelength image. The results show that when the target reaches a certain height, SNR of characteristic spectral image is higher than that of the whole wavelength image.

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