Volume 48 Issue 8
Aug.  2019
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Han Liqin, Cui Wenyu, Zhang Yaonan, Yi Weining, Du Lili, Huang Honglian. Simulation method of time series dynamic thermal radiation of terrain surface based on environmental parameters[J]. Infrared and Laser Engineering, 2019, 48(8): 803004-0803004(9). doi: 10.3788/IRLA201948.0803004
Citation: Han Liqin, Cui Wenyu, Zhang Yaonan, Yi Weining, Du Lili, Huang Honglian. Simulation method of time series dynamic thermal radiation of terrain surface based on environmental parameters[J]. Infrared and Laser Engineering, 2019, 48(8): 803004-0803004(9). doi: 10.3788/IRLA201948.0803004
shu

Simulation method of time series dynamic thermal radiation of terrain surface based on environmental parameters

doi: 10.3788/IRLA201948.0803004
  • 1.

    Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730070,China;

  • 2.

    University of Chinese Academy of Sciences,Beijing 100049,China;

  • 3.

    Key Laboratory of Optical Calibration and Characterization,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China

  • Received Date: 2019-03-11
  • Rev Recd Date: 2019-04-21
  • Publish Date: 2019-08-25
  • Estimation of time series dynamic thermal radiation of terrain surface is the core section in IR scene simulation. Calculating land surface thermal radiance by heat-transfer Finite Difference Method(FDM) is a physically rigorous method. However, it is limited to the uncertainty of boundary conditions of the difference equation, therefore the method is not widely used in IR scene simulation. A simulation method of time series dynamic thermal radiation of terrain surface based on environmental parameters(illumination, temperature, humidity, etc) was proposed. In this method a closed-loop iterative process was designed according to the variable regulation of geological thermal environment. It could automatically correct the initial temperature profile and bottom boundary thermal radiance, which solved the problem of uncertainty of boundary conditions, and the algorithm accuracy and adaptability were promoted. The outfield experimental results indicate that the absolute error of temperature is less than 2 K, and the relative error of equivalent blackbody radiance is less than 3%. Compared with previous methods, the precision of this method has been improved obviously. The method provides the fundamental module for IR scene simulation. In addition, this method was used to simulate the temporal changes of the thermal radiation distribution on the surface in mountain area, showing its preliminary application effect in infrared scene simulation.
  • [1] Lv Zhenhua, Pan Xiaoli, Gong Guanghong, et al. Research on terrain background infrared radiation characteristics modeling and simulation[J]. Journal of CAEIT, 2017, 12(4):420-427. (in Chinese)吕震华, 潘晓丽, 龚光红, 等. 地面背景红外辐射特性建模与仿真研究[J]. 中国电子科学研究院学报, 2017, 12(4):420-427.
    [2] Zhao Shiming, Sun Zhiyue. Error analysis of infrared guidance hardwave in loop simulation system[J]. Infrared and Laser Engineering, 2017, 46(8):0804004. (in Chinese)赵世明, 孙致月. 红外制导半实物仿真系统误差分析[J], 红外与激光工程, 2017, 46(8):0804004.
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    [4] Guan Muqiang, Li Yan, Huang Mei, et al. Infrared image simulation injection system based on FPGA[J]. Chinese Optics, 2011, 4(3):277-282. (in Chinese)管目强, 李岩, 黄梅, 等. 基于FPGA的红外图像仿真注入系统[J]. 中国光学, 2011, 4(3):277-282.
    [5] Zhao Yunfeng, Li Yejin, Zhang Yin, et al. A space-based infrared detection scene generation system for moving objects with sea background[J]. Optics and Precision Engineering, 2017, 25(4):487-493. (in Chinese)赵云峰, 李夜金, 张寅, 等. 海洋背景下运动目标的天基红外探测场景生成系统[J]. 光学精密工程, 2017, 25(4):487-493.
    [6] Qiao Tieying, Cai Lihua, Li Ning, et al. Opposite target measurement based on infrared radiation characteristic system[J]. Chinese Optics, 2018, 11(5):804-811. (in Chinese)乔铁英, 蔡立华, 李宁, 等. 基于红外辐射特性系统实现对面目标测量[J]. 中国光学, 2018, 11(5):804-811.
    [7] Li Bo, Wang Xiangfeng, Sun Lina, et al. Radiation influence model in MWIR hyperspectral simulation[J]. Infrared and Laser Engineering, 2018, 47(3):0304003.
    [8] Lin Dandan, Lin Yu, Zhang Jin, et al. Infrared scene simulation technology and applied research[J]. Infrared Technology, 2018, 40(2):114-118. (in Chinese)林丹丹, 林宇, 张晋, 等. 红外场景产生技术及应用研究[J]. 红外技术, 2018, 40(2):114-118.
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    [10] Wang Yue, Lu Qiushi, Ye Qingqing. Infrared characteristic model of ground background[J]. Infrared and Laser Engineering, 2010, 39(6):989-992. (in Chinese)王玥, 卢秋实, 叶青青. 地面背景的红外特性模型[J]. 红外与激光工程, 2010, 39(6):989-992.
    [11] Yu Yang, Tan Feng, Lian Qi, et al. Simulation and analysis of shallow soil temperature field based on ANSYS[J]. Journal of Anhui Agri Sci, 2017, 45(35):102-104. (in Chinese)于洋, 谭峰, 廉琦, 等. 基于ANSYS的浅层土壤温度场特征模拟分析[J]. 安徽农业科学, 2017, 45(35):102-104.
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Simulation method of time series dynamic thermal radiation of terrain surface based on environmental parameters

doi: 10.3788/IRLA201948.0803004
  • 1. Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730070,China;
  • 2. University of Chinese Academy of Sciences,Beijing 100049,China;
  • 3. Key Laboratory of Optical Calibration and Characterization,Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei 230031,China
  • Received Date: 2019-03-11
  • Rev Recd Date: 2019-04-21
  • Publish Date: 2019-08-25

Abstract: Estimation of time series dynamic thermal radiation of terrain surface is the core section in IR scene simulation. Calculating land surface thermal radiance by heat-transfer Finite Difference Method(FDM) is a physically rigorous method. However, it is limited to the uncertainty of boundary conditions of the difference equation, therefore the method is not widely used in IR scene simulation. A simulation method of time series dynamic thermal radiation of terrain surface based on environmental parameters(illumination, temperature, humidity, etc) was proposed. In this method a closed-loop iterative process was designed according to the variable regulation of geological thermal environment. It could automatically correct the initial temperature profile and bottom boundary thermal radiance, which solved the problem of uncertainty of boundary conditions, and the algorithm accuracy and adaptability were promoted. The outfield experimental results indicate that the absolute error of temperature is less than 2 K, and the relative error of equivalent blackbody radiance is less than 3%. Compared with previous methods, the precision of this method has been improved obviously. The method provides the fundamental module for IR scene simulation. In addition, this method was used to simulate the temporal changes of the thermal radiation distribution on the surface in mountain area, showing its preliminary application effect in infrared scene simulation.

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