Multivariate calibration model for measurement of 3-5μm infrared sky brightness

Zhao Zhijun; Xu Fangyu; Gao Ling; Guo Jie; Xu Shichun; Liu Zhong

doi:10.3788/IRLA201783.1004004

Volume 46 Issue 10

Nov. 2017

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Zhao Zhijun, Xu Fangyu, Gao Ling, Guo Jie, Xu Shichun, Liu Zhong. Multivariate calibration model for measurement of 3-5μm infrared sky brightness[J]. Infrared and Laser Engineering, 2017, 46(10): 1004004-1004004(8). doi: 10.3788/IRLA201783.1004004

Citation:

Zhao Zhijun, Xu Fangyu, Gao Ling, Guo Jie, Xu Shichun, Liu Zhong. Multivariate calibration model for measurement of 3-5μm infrared sky brightness[J]. Infrared and Laser Engineering, 2017, 46(10): 1004004-1004004(8). doi: 10.3788/IRLA201783.1004004

Multivariate calibration model for measurement of 3-5μm infrared sky brightness

doi: 10.3788/IRLA201783.1004004

Zhao Zhijun^1,4,5,
Xu Fangyu^{1,5
,
,},
Gao Ling²,
Guo Jie³,
Xu Shichun²,
Liu Zhong^1,5

1.
Yunnan Observatories,Chinese Academy of Sciences,Kunming 650216,China;
2.
Kunming Institute of Physics,Kunming 650223,China;
3.
Yunnan Normal University,Kunming 650500,China;
4.
University of Chinese Academy of Sciences,Beijing 100049,China;
5.
Center for Astronomical Mega-Science,Chinese Academy of Sciences,Beijing 100012,China

Received Date: 2017-02-25
Rev Recd Date: 2017-03-21
Publish Date: 2017-10-25

Abstract

The traditional univariate calibration method used in measuring infrared sky brightness is confronted with many issues, and two main issues are the insufficient dynamic response of the measuring instruments as well as the influence of the ambient temperature on the measurement result. In order to extend the dynamic response of the measuring instruments, a bivariate calibration model at the constant temperature was demonstrated in the paper, and its independent variables were radiance and exposure time. Then with the experiment data acquired in many temperatures, the variation of the bivariate calibration model in different temperature was analyzed. Thus trivariate calibration model was presented at the last part, and the goodness of the fit of the model and the experiment data was best. R-square is 1.000, and the relevant uncertainties in 95% confidence degree of a, b and d, parameters of the trivariate calibration model, were all less than 0.82%, trivariate model can be degraded to bivariate at some certain temperature, the deviation of all of parameters of degraded model were less than 0.6%; Finally, with the outfield experiment of infrared sky brightness, bivariate and trivariate calibration model were validated and compared. The benefit of this trivariate calibration model is that it can extend the dynamic response of the measuring instruments, and the precision of its measuring result is not affected by the variation of ambient temperature. Hence this model can be widely used and can achieve high-precision and high-efficiency measurement without in-situ calibration.
- infrared,
- sky brightness,
- least squares,
- multivariate calibration

References

[1]	Glasse A, Casali M. Infrared measurements of the sky noise power spectrum at Mauna Kea[C]//Future Observational Directions, 1993.
[2]	Smith C H, Harper D A. Mid-infrared sky brightness site testing at the South Pole[J]. Publications of the A Stronomical Society of the Pacific, 1998, 748(110):747-753.
[3]	Mariani Z, Strong K, Wolff M, et al. Infrared measurements in the arctic using two atmospheric emitted radiance interferometers[J]. Atmospheric Measurement Techniques, 2012, 5(2):329-344.
[4]	Wei Heli, Chen Xiuhong, Dai Congming, et al. Ground-based measurements of infrared atmospheric background spectral radiances[J]. Infrared and Laser Engineering, 2012, 41(1):284-290. (in Chinese)魏合理, 陈秀红, 戴聪明, 等. 地基大气背景红外光谱辐射特性测量[J]. 红外与激光工程, 2012, 41(1):284-290.
[5]	Wang Dong, Zhao Wei, Chen Yong, et al. Measurement of sky background infrared radiant intensity and analysis of it's effect on target detection[J]. Infrared Technology, 2015, 37(9):774-779. (in Chinese)王东, 赵威, 陈勇, 等. 天空背景红外辐射亮度测量及其对目标探测的影响分析[J]. 红外技术, 2015, 37(9):774-779.
[6]	Wang Rui, Shao Xiaopeng, Xu Jun, et al. Study on improving dynamic range of infrared imaging system based on calibrating integration time[J]. Infrared Technology, 2009, 31(7):381-385. (in Chinese)王锐, 邵晓鹏, 徐军, 等. 基于定标积分时间法提高红外成像系统动态范围的研究[J]. 红外技术, 2009, 31(7):381-385.
[7]	Luo Maojie, Zhou Jinmei, Fu Jingneng, et al. Integration time as variable for radiometric calibration of infrared system[J]. Infrared and Laser Engineering, 2013, 42(1):36-40. (in Chinese)罗茂捷, 周金梅, 傅景能, 等. 考虑积分时间变量的红外系统辐射响应定标[J]. 红外与激光工程, 2013, 42(1):36-40.
[8]	Kurt Skld, David L Price, Neutron Scutlering[M]//Martonl, Marton C. Methods of Experimental Physics Orlando, Academic Press Inc, 1987.
[9]	Yan Peipei, Li Gang, Liu Kai, et al. Stray light suppression of different ground-based photoelectric detection systems[J]. Infrared and Laser Engineering, 2015, 44(3):917-922. (in Chinese)闫佩佩, 李刚, 刘凯,等. 不同结构地基光电探测系统的杂散光抑制[J]. 红外与激光工程, 2015, 44(3):917-922.
[10]	Cao Lihua, Li Ning, Yang Ciyin, et al. Radiance calibration for 3-5m infrared detector[J]. Infrared and Laser Engineering, 2012, 41(2):858-864. (in Chinese)曹立华, 李宁, 杨词银, 等. 3~5m红外探测器的辐射定标[J]. 红外与激光工程, 2012, 41(2):858-864.
[11]	Liang Chao, Ma Tianxiang. Design of infrared imaging nonuniformity correction system based on black body calibration[J]. Chinese Optics, 2016, 9(3):385-393. (in Chinese)梁超, 马天翔. 基于黑体标定的红外图像非均匀性校正系统设计[J]. 中国光学, 2016, 9(3):385-393.
[12]	Li Bin, Wu Haiying, Wang Wentao, et al. Design of a simple infrared calibration system[J]. Infrared and Laser Engineering, 2014, 43(2):458-463. (in Chinese)李斌, 吴海英, 王文涛,等. 一种简易红外标定系统的设计[J]. 红外与激光工程, 2014, 43(2):458-463.
[13]	Sun Zhiyuan, Chang Songtao, Zhu Wei, et al. Radiation calibration of infrared system by amendment of inner and outer calibrations[J]. Opt Precision Eng, 2015, 23(2):356-362. (in Chinese)孙志远, 常松涛, 朱玮,等. 应用内外定标修正实现红外测量系统辐射定标[J]. 光学精密工程, 2015, 23(2):356-362.
[14]	Yang Ciyin, Zhang Jianping, Cao Lihua. Infrared radiation measurement based on proportional corrected atmospheric transmittance[J]. Opt Precision Eng, 2012, 20(7):1626-1635. (in Chinese)杨词银, 张建萍, 曹立华. 基于大气透过率比例校正的目标辐射测量[J]. 光学精密工程, 2012, 20(7):1626-1635.

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沈阳化工大学材料科学与工程学院沈阳 110142

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Multivariate calibration model for measurement of 3-5μm infrared sky brightness

1. Yunnan Observatories,Chinese Academy of Sciences,Kunming 650216,China;

2. Kunming Institute of Physics,Kunming 650223,China;

3. Yunnan Normal University,Kunming 650500,China;

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

5. Center for Astronomical Mega-Science,Chinese Academy of Sciences,Beijing 100012,China

Received Date: 2017-02-25

Rev Recd Date: 2017-03-21

Publish Date: 2017-10-25

Key words:

Abstract: The traditional univariate calibration method used in measuring infrared sky brightness is confronted with many issues, and two main issues are the insufficient dynamic response of the measuring instruments as well as the influence of the ambient temperature on the measurement result. In order to extend the dynamic response of the measuring instruments, a bivariate calibration model at the constant temperature was demonstrated in the paper, and its independent variables were radiance and exposure time. Then with the experiment data acquired in many temperatures, the variation of the bivariate calibration model in different temperature was analyzed. Thus trivariate calibration model was presented at the last part, and the goodness of the fit of the model and the experiment data was best. R-square is 1.000, and the relevant uncertainties in 95% confidence degree of a, b and d, parameters of the trivariate calibration model, were all less than 0.82%, trivariate model can be degraded to bivariate at some certain temperature, the deviation of all of parameters of degraded model were less than 0.6%; Finally, with the outfield experiment of infrared sky brightness, bivariate and trivariate calibration model were validated and compared. The benefit of this trivariate calibration model is that it can extend the dynamic response of the measuring instruments, and the precision of its measuring result is not affected by the variation of ambient temperature. Hence this model can be widely used and can achieve high-precision and high-efficiency measurement without in-situ calibration.

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Reference (14)

[1]	Glasse A, Casali M. Infrared measurements of the sky noise power spectrum at Mauna Kea[C]//Future Observational Directions, 1993.
[2]	Smith C H, Harper D A. Mid-infrared sky brightness site testing at the South Pole[J]. Publications of the A Stronomical Society of the Pacific, 1998, 748(110):747-753.
[3]	Mariani Z, Strong K, Wolff M, et al. Infrared measurements in the arctic using two atmospheric emitted radiance interferometers[J]. Atmospheric Measurement Techniques, 2012, 5(2):329-344.
[4]	Wei Heli, Chen Xiuhong, Dai Congming, et al. Ground-based measurements of infrared atmospheric background spectral radiances[J]. Infrared and Laser Engineering, 2012, 41(1):284-290. (in Chinese)魏合理, 陈秀红, 戴聪明, 等. 地基大气背景红外光谱辐射特性测量[J]. 红外与激光工程, 2012, 41(1):284-290.
[5]	Wang Dong, Zhao Wei, Chen Yong, et al. Measurement of sky background infrared radiant intensity and analysis of it's effect on target detection[J]. Infrared Technology, 2015, 37(9):774-779. (in Chinese)王东, 赵威, 陈勇, 等. 天空背景红外辐射亮度测量及其对目标探测的影响分析[J]. 红外技术, 2015, 37(9):774-779.
[6]	Wang Rui, Shao Xiaopeng, Xu Jun, et al. Study on improving dynamic range of infrared imaging system based on calibrating integration time[J]. Infrared Technology, 2009, 31(7):381-385. (in Chinese)王锐, 邵晓鹏, 徐军, 等. 基于定标积分时间法提高红外成像系统动态范围的研究[J]. 红外技术, 2009, 31(7):381-385.
[7]	Luo Maojie, Zhou Jinmei, Fu Jingneng, et al. Integration time as variable for radiometric calibration of infrared system[J]. Infrared and Laser Engineering, 2013, 42(1):36-40. (in Chinese)罗茂捷, 周金梅, 傅景能, 等. 考虑积分时间变量的红外系统辐射响应定标[J]. 红外与激光工程, 2013, 42(1):36-40.
[8]	Kurt Skld, David L Price, Neutron Scutlering[M]//Martonl, Marton C. Methods of Experimental Physics Orlando, Academic Press Inc, 1987.
[9]	Yan Peipei, Li Gang, Liu Kai, et al. Stray light suppression of different ground-based photoelectric detection systems[J]. Infrared and Laser Engineering, 2015, 44(3):917-922. (in Chinese)闫佩佩, 李刚, 刘凯,等. 不同结构地基光电探测系统的杂散光抑制[J]. 红外与激光工程, 2015, 44(3):917-922.
[10]	Cao Lihua, Li Ning, Yang Ciyin, et al. Radiance calibration for 3-5m infrared detector[J]. Infrared and Laser Engineering, 2012, 41(2):858-864. (in Chinese)曹立华, 李宁, 杨词银, 等. 3~5m红外探测器的辐射定标[J]. 红外与激光工程, 2012, 41(2):858-864.
[11]	Liang Chao, Ma Tianxiang. Design of infrared imaging nonuniformity correction system based on black body calibration[J]. Chinese Optics, 2016, 9(3):385-393. (in Chinese)梁超, 马天翔. 基于黑体标定的红外图像非均匀性校正系统设计[J]. 中国光学, 2016, 9(3):385-393.
[12]	Li Bin, Wu Haiying, Wang Wentao, et al. Design of a simple infrared calibration system[J]. Infrared and Laser Engineering, 2014, 43(2):458-463. (in Chinese)李斌, 吴海英, 王文涛,等. 一种简易红外标定系统的设计[J]. 红外与激光工程, 2014, 43(2):458-463.
[13]	Sun Zhiyuan, Chang Songtao, Zhu Wei, et al. Radiation calibration of infrared system by amendment of inner and outer calibrations[J]. Opt Precision Eng, 2015, 23(2):356-362. (in Chinese)孙志远, 常松涛, 朱玮,等. 应用内外定标修正实现红外测量系统辐射定标[J]. 光学精密工程, 2015, 23(2):356-362.
[14]	Yang Ciyin, Zhang Jianping, Cao Lihua. Infrared radiation measurement based on proportional corrected atmospheric transmittance[J]. Opt Precision Eng, 2012, 20(7):1626-1635. (in Chinese)杨词银, 张建萍, 曹立华. 基于大气透过率比例校正的目标辐射测量[J]. 光学精密工程, 2012, 20(7):1626-1635.

Multivariate calibration model for measurement of 3-5μm infrared sky brightness

doi: 10.3788/IRLA201783.1004004

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