Infrared and Laser Engineering, Volume. 49, Issue 5, 20190413(2020)

Nonlinear atmospheric correction based on neural network for infrared target radiometry

Yang Guoqing1...2,*, Li Zhou1, Zhao Chen1,2, Yu Yi1, Qiao Yanfeng1 and He Fengyun1 |Show fewer author(s)
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  • 1[in Chinese]
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    References(13)

    [2] X Xue, C Liu, J Qiao. The research about radiometric technology of two-dimensional rotary table based on image gray level. EURASIP Journal on Image and Video Processing, 2019(2019).

    [4] L H Cai, Z Li, Y Yu. Direct atmospheric correction for high precision radiometry on infrared small target. Infrared and Laser Engineering, 47, S104002(2018).

    [9] M D Mermelstein, K A Snail, R G Priest. Spectral and radiometric calibration of midwave and longwave infrared cameras. Optical Engineering, 39, 574-579(2000).

    [11] [11] erson G P, Berk A, Aya P K, et al. MODTRAN4: multiple scattering bidirectional reflectance distribution function (BRDF) upgrades to MODTRAN [C]SPIE, 2000, 4049:176–183.

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    Yang Guoqing, Li Zhou, Zhao Chen, Yu Yi, Qiao Yanfeng, He Fengyun. Nonlinear atmospheric correction based on neural network for infrared target radiometry[J]. Infrared and Laser Engineering, 2020, 49(5): 20190413

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    Paper Information

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    Received: Feb. 4, 2020

    Accepted: Mar. 27, 2020

    Published Online: Sep. 22, 2020

    The Author Email: Yang Guoqing (yangguoqing215@mails.ucas.edu.cn)

    DOI:10.3788/irla20190413

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