Volume 48 Issue 12
Dec.  2019
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Li Wenjie, Yan Shiqiang, Wang Chengliang, Ouyang Yan, Zhang Songzhi, Gai Meiqing. Research on simulation of earth background radiation in infrared early warning satellite detection waveband[J]. Infrared and Laser Engineering, 2019, 48(12): 1203007-1203007(7). doi: 10.3788/IRLA201948.1203007
Citation: Li Wenjie, Yan Shiqiang, Wang Chengliang, Ouyang Yan, Zhang Songzhi, Gai Meiqing. Research on simulation of earth background radiation in infrared early warning satellite detection waveband[J]. Infrared and Laser Engineering, 2019, 48(12): 1203007-1203007(7). doi: 10.3788/IRLA201948.1203007

Research on simulation of earth background radiation in infrared early warning satellite detection waveband

doi: 10.3788/IRLA201948.1203007
  • Received Date: 2019-08-05
  • Rev Recd Date: 2019-09-15
  • Publish Date: 2019-12-25
  • Aiming at the problem that remote sensing data of detection band of infrared early warning satellite(IEWS) is difficult to obtain, the earth background radiation simulation method of IEWS detection waveband based on retrieving earth surface temperature was studied. The earth surface temperature distribution maps were generated by using a generalized single-channel algorithm for retrieving earth surface temperature of the FY-3/MERSI datasets. On this basis, the earth infrared radiation model was constructed, which fully considered the influence of altitude, atmospheric model, surface type and other factors on earth surface radiation. The joint programming of MATLAB and MODTRAN was used to calculate the surface radiation corresponding to each pixel, and realize the generation of earth background radiation image of IEWS detection band. The simulation results show that the simulated images have high resolution, and can accurately reflect the earth background radiation characteristics of IEWS detection waveband. The research result provides scene data support for studying IEWS operational effectiveness evaluation and target recognition technology.
  • [1] Zhang Weiqing, Xuan Yimin, Han Yuge. Approach of generating infrared picture about the earth background[J]. Infrared and Laser Engineering, 2006, 35(1):39-44. (in Chinese)
    [2] Hu Lei, Li Hao, Yan Shiqiong, et al. Building of operational effectiveness evaluation index system of early warning satellite system[J]. Fire Control Command Control, 2015, 40(5):65-68.
    [3] Gu Youlin, Qiao Yanli, Yi Weining. Application of satellite image in the scene simulation of thermal infrared[J]. Infrared and Laser Engineering, 2008, 37(2):247-249. (in Chinese)
    [4] Xue Lian, Zhang Li, Liu Jiaqi, et al. Infrared scene simulation of space down-looking system based on remote sensing inversion[J]. Infrared and Laser Engineering, 2016, 45(7):0704004. (in Chinese)
    [5] Lv Zhenhua, Pan Xiaoli, Gong Guanghang, et al. Research on terrain background infrared radiation characteristics modeling and simulation[J]. Journal of China Academy of Electronics and Information Technology, 2017, 12(4):420-427.
    [6] Jimnez-Muoz J C, Sobrino J A. A generalized single-channel method for retrieving land surface temperature from remote sensing data[J]. Journal of Geophysical Research:Atmospheres, 2003, 108(D22):4688.
    [7] Meng X, Cheng J, Liang S. Estimating land surface temperature from feng yun-3c/mersi data using a new land surface emissivity scheme[J]. Remote Sensing, 2017, 9(12):1247.
    [8] Yu X, Guo X, Wu Z. Land surface temperature retrieval from Landsat 8 TIRS-Comparison between radiative transfer equation-based method, split window algorithm and single channel method[J]. Remote Sensing, 2014, 6(10):9829-9852.
    [9] Nicls R, Caselles V, Valor E, et al. A simple equation for determining sea surface emissivity in the 3-15m region[J]. International Journal of Remote Sensing, 2009, 30(6):1603-1619.
    [10] Li Linlin, Li Guochan, Wang Ying, et al. Retrieval of land surface temperature from FY-3 MERSI data[J]. Chinese Agricultural Science Bulletin, 2015, 31(22):223-229.(in Chinese)
    [11] Kaufman Y J, Gao B C. Remote sensing of water vapor in the near IR from EOS/MODIS[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(5):871-884.
    [12] Peng S, Tang B H, Wu H, et al. Estimating of the total atmospheric precipitable water vapor amount from the Chinese new generation polar orbit FengYun meteorological satellite (FY-3) data[C]//2014 IEEE Geoscience and Remote Sensing Symposium, 2014:3029-3032.
    [13] Liu Zungang, Shao Li, Wang Yafu, et al. A band selection method for infrared warning satellites based on radiation flux apparent contrast spectrum[J]. Journal of Infrared and Millimeter Waves, 2014, 33(5):492-497.
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Research on simulation of earth background radiation in infrared early warning satellite detection waveband

doi: 10.3788/IRLA201948.1203007
  • 1. Air Force Early Warning Academy,Wuhan 430019,China

Abstract: Aiming at the problem that remote sensing data of detection band of infrared early warning satellite(IEWS) is difficult to obtain, the earth background radiation simulation method of IEWS detection waveband based on retrieving earth surface temperature was studied. The earth surface temperature distribution maps were generated by using a generalized single-channel algorithm for retrieving earth surface temperature of the FY-3/MERSI datasets. On this basis, the earth infrared radiation model was constructed, which fully considered the influence of altitude, atmospheric model, surface type and other factors on earth surface radiation. The joint programming of MATLAB and MODTRAN was used to calculate the surface radiation corresponding to each pixel, and realize the generation of earth background radiation image of IEWS detection band. The simulation results show that the simulated images have high resolution, and can accurately reflect the earth background radiation characteristics of IEWS detection waveband. The research result provides scene data support for studying IEWS operational effectiveness evaluation and target recognition technology.

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