Volume 47 Issue 3
Apr.  2018
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Li Bo, Wang Xiangfeng, Sun Lina, Cui Yan. Radiation influence model in MWIR hyperspectral simulation[J]. Infrared and Laser Engineering, 2018, 47(3): 304003-0304003(9). doi: 10.3788/IRLA201847.0304003
Citation: Li Bo, Wang Xiangfeng, Sun Lina, Cui Yan. Radiation influence model in MWIR hyperspectral simulation[J]. Infrared and Laser Engineering, 2018, 47(3): 304003-0304003(9). doi: 10.3788/IRLA201847.0304003

Radiation influence model in MWIR hyperspectral simulation

doi: 10.3788/IRLA201847.0304003
  • Received Date: 2017-10-10
  • Rev Recd Date: 2017-11-20
  • Publish Date: 2018-03-25
  • In order to improve the fidelity of the IR hyperspectral target characteristic simulation, an influence model was presented in this paper to calculate the influence of the nearby building on the target final radiation at certain wavelength. A virtual experiment scene was constructed with 1976 U.S. standard atmosphere. Simulation experiments were done based on the constructed virtual scene in 3.0-5.0m at intervals of 0.01m, and the calculation results were compared with the target reflected solar radiation and the target self-radiation. Experiments results show that the radiation influence from the building are higher than the target reflected solar radiation or the target self-radiation at some waveband ranges, which means the radiation influence is the most critical radiation in some images of the image cube. It proves the influence model presented in this paper is necessary and important in hyperspectral simulation. Through the analysis of simulation results, the building surface temperature, atmosphere transmittance and the valid radiation area are determined to be the 3 key factors to affect the influence radiation of nearby building.
  • [1] Xu Hong, Wang Xiangjun. Applications of multispectral/hyperspectral imaging technologies in military[J]. Infrared and Laser Engineering, 2007, 36(1):13-19. (in Chinese)
    [2] Zheng Weijian, Lei Zhenggang, Yu Chunchaoe, et al. Research on ground-based LWIR hyperspectral imaging romote gas detection[J]. Spectroscopy and Spectral Analysis, 2016, 36(2):599-606. (in Chinese)
    [3] Xie Feng, Liu Chengyu, Shao Honglan, et al. Scene-based spectral calibration for thermal infrared hyperspectral data[J]. Infrared and Laser Engineering, 2017, 46(1):0138001. (in Chinese)
    [4] Cheng Mengshuo, Qian Yongqiang, Wang Ning, et al. A temperature and emissivity retrieval algorithm based on atmospheric absorption feature from hyperspectral thermal infrared data[J]. J Infrared Millim Waves, 2016, 35(10):617-624. (in Chinese)
    [5] Li Bo, Zhao Huaici, Hua Haiyang. Radiation influence research between buildings in IR multispectral simulation[J].Infrared and Laser Engineering, 2014, 43(10):3222-3227. (in Chinese)
    [6] Wang Yachao, Zhao Huijie, Jia Guorui. Modeling and simulation of topographic effects for hyperspectral remote sensing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(9):1131-1134. (in Chinese)
    [7] Yan Peipei, Ma Caiwen, Zhe Wenji. Inluence of earth's reflective radiation on space target for space based imaging[J]. Acta Phys Sin, 2015, 64(16):463-470. (in Chinese)
    [8] Baldridge A M, Hook S J, Grove C I, et al. The ASTER spectral library version 2.0[J]. Remote Sensing of Environment, 2009, 113:711-715.
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Radiation influence model in MWIR hyperspectral simulation

doi: 10.3788/IRLA201847.0304003
  • 1. Shenyang Institute of Engineering,Shenyang 110136,China

Abstract: In order to improve the fidelity of the IR hyperspectral target characteristic simulation, an influence model was presented in this paper to calculate the influence of the nearby building on the target final radiation at certain wavelength. A virtual experiment scene was constructed with 1976 U.S. standard atmosphere. Simulation experiments were done based on the constructed virtual scene in 3.0-5.0m at intervals of 0.01m, and the calculation results were compared with the target reflected solar radiation and the target self-radiation. Experiments results show that the radiation influence from the building are higher than the target reflected solar radiation or the target self-radiation at some waveband ranges, which means the radiation influence is the most critical radiation in some images of the image cube. It proves the influence model presented in this paper is necessary and important in hyperspectral simulation. Through the analysis of simulation results, the building surface temperature, atmosphere transmittance and the valid radiation area are determined to be the 3 key factors to affect the influence radiation of nearby building.

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