Infrared radiation characteristics measurement and temperature retrieval based on DJI unmanned aerial vehicle

Chaoshuai Chen; Shiyong Wang

doi:10.3969/j.issn.1003-501X.2017.04.007

Article navigation > Opto-Electronic Engineering > 2017 Vol. 44 > No. 4 > 427-434

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Chaoshuai Chen, Shiyong Wang. Infrared radiation characteristics measurement and temperature retrieval based on DJI unmanned aerial vehicle[J]. Opto-Electronic Engineering, 2017, 44(4): 427-434. doi: 10.3969/j.issn.1003-501X.2017.04.007

Citation:

Chaoshuai Chen, Shiyong Wang. Infrared radiation characteristics measurement and temperature retrieval based on DJI unmanned aerial vehicle[J]. Opto-Electronic Engineering, 2017, 44(4): 427-434. doi: 10.3969/j.issn.1003-501X.2017.04.007

Infrared radiation characteristics measurement and temperature retrieval based on DJI unmanned aerial vehicle

Chaoshuai Chen^1,2,3, ,,
Shiyong Wang^1,3

1.
Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China
3.
Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

Fund Project:

More Information

Corresponding author: Chaoshuai Chen, E-mail: chencs_1991@126.com

Received Date 17 October 2016

Revised Date 31 December 2016

Published Date 15 April 2017

Abstract

Abstract

With the initial applications of unmanned aerial vehicle technology in various fields, the infrared (IR) radiation characteristic of the UAV becomes an issue of mutual concern. In this experiment, the radiometric calibration of middle wave and long wave infrared detectors has been done firstly. The radiation characteristics of the UAV are measured while flying, and the temperature of UAV target is inverted by using single-band method, dual-band colorimetric method and dual-band method based on black-body calibration. Combined with the real measured data, the above methods are analyzed and compared. The measurement precision is analyzed and error source is given. The results show that radiation intensity of UAV is about 0.04 W/sr in middle IR wave, and 0.5 W/sr in long IR wave. Dual-band method based on black-body calibration can improve the precision of UAV temperature inversion greatly, the absolute error of temperature retrieval reduces to 2 K, and relative error is about 0.5%.
- unmanned aerial vehicle /
- radiance /
- radiation characteristics /
- temperature retrieval

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References

[1]	曹立华, 万春明, 张云峰, 等.点目标的红外辐射特性测量方法[J].红外与毫米波学报, 2015, 34(4): 460-464. doi: 10.11972/j.issn.1001-9014.2015.04.014 CrossRef Google Scholar Cao Lihua, Wan Chunming, Zhang Yunfeng, et al. Infrared radiation characteristic measure method of point Target[J]. Journal of Infrared and Millimeter Waves, 2015, 34(4): 460-464. doi: 10.11972/j.issn.1001-9014.2015.04.014 CrossRef Google Scholar
[2]	徐顶国, 桑建华, 罗明东.背景辐射下的无人机红外辐射特征仿真研究[J].激光与红外, 2013, 43(6): 649-653. Google Scholar Xu Dingguo, Sang Jianhua, Luo Mingdong. Simulation study on the infrared radiation characteristics of UAV under the background radiation[J]. Laser & Infrared, 2013, 43(6): 649-653. Google Scholar
[3]	李云红, 张龙, 王延年.红外热像仪外场测温的大气透过率二次标定[J].光学精密工程, 2010, 18(10): 2143-2149. Google Scholar Li Yunhong, Zhang Long, Wang Yannian. Second calibration of atmospheric transmission coefficients on temperature measurement of infrared thermal imager in fields[J]. Optics and Precision Engineering, 2010, 18(10): 2143-2149. Google Scholar
[4]	杨词银, 张建萍, 曹立华.基于实时标校的目标红外辐射测量新方法[J].红外与毫米波学报, 2011, 30(3): 284-288. Google Scholar Yang Ciyin, Zhang Jianping, Cao Lihua. Infrared radiation measurement based on real-time correction[J]. Journal of Infrared and Millimeter Waves, 2011, 30(3): 284-288. Google Scholar
[5]	Teutsch M, Krüger W, Heinze N. Detection and classification of moving objects from UAVs with optical Sensors[J]. Proceedings of SPIE, 2011, 80501: 80501J. Google Scholar
[6]	Mahulikar S P, Sonawane H R, Rao G A. Infrared signature studies of aerospace vehicles[J]. Progress in Aerospace Sciences, 2007, 43(7-8): 218-245. doi: 10.1016/j.paerosci.2007.06.002 CrossRef Google Scholar
[7]	Bakker E J, Fair M L, Schleijpen H M A. Modeling multispectral imagery data with NIRATAM v3.1 and NPLUME v1.6[J]. Proceedings of SPIE, 1999, 3699: 80-91. doi: 10.1117/12.352936 CrossRef Google Scholar
[8]	李宪圣, 任建伟, 张立国, 等.大口径红外光电系统现场辐射定标装置的研制[J].光电子·激光, 2006, 17(2): 175-178. Google Scholar Li Xiansheng, Ren Jianwei, Zhang Liguo, et al. Research on a radiometric calibration device for a large aperture infrared opto-electric system on spot[J]. Journal of Optoelectronics·Laser, 2006, 17(2): 175-178. Google Scholar
[9]	张立儒.比色和亮度高温计测量精度的分析[J].天津大学学报, 1963, 12(1): 75-81. Google Scholar Zhang Liru. Colorimetric and Radiance temperature Pyrometer Measurement Accuracy Analysis[J]. Journal of Tianjin University, 1963, 12(1): 75-81. Google Scholar
[10]	魏合理, 陈秀红, 詹杰, 等.红外辐射测量的大气修正[J].大气与环境光学学报, 2007, 2(6): 472-478. Google Scholar Wei Heli, Chen Xiuhong, Zhan Jie, et al. Atmospheric correction in the measurement of infrared radiance[J]. Journal of Atmosphere and Environmental Optics, 2007, 2(6): 472-478. Google Scholar
[11]	Engel M Y, Balfour L S. Quantitative evaluation of errors in remote measurements using a Thermal Image[J]. Proceedings of SPIE, 1991, 1442: 298-307. doi: 10.1117/12.49072 CrossRef Google Scholar
[12]	曹立华, 杨词银, 万春明.基于标校的双波段比色测温法[J].仪器仪表学报, 2012, 33(8): 1882-1888. Google Scholar Cao Lihua, Yang Ciyin, Wan Chunming. Correction-based dual-waveband color comparison thermometric method[J]. Chinese Journal of Scientific Instrument, 2012, 33(8): 1882-1888. Google Scholar
[13]	李云红, 王瑞华, 李禹萱.双波段比色测温技术及实验测试[J].激光与红外, 2013, 43(1): 71-75. Google Scholar Li Yunhong, Wang Ruihua, Li Yuxuan. Dual waveband colorimetric temperature measurement technology and Experiment[J]. Laser & Infrared, 2013, 43(1): 71-75. Google Scholar

Overview

Overview

Abstract: With the initial applications of unmanned aerial vehicle technology in various fields, the infrared (IR) radiation characteristics of the UAV become an issue of mutual concern. In this experiment, the radiometric calibration of middle wave and long wave infrared detectors has been done. SR800R 12D_ET extending blackbody made in Israel is used for the radiometric calibration of middle wave and long wave infrared detectors. The quantitative connection between the optical entrance pupil radiation and the output of detector is established, and the responsivity of the infrared detector is obtained. The radiation characteristics of the UAV is measured while flying, and the temperature of UAV target is inverted by using single-band method, dual-band colorimetric method and dual-band method based on black-body calibration.
Firstly, single-band measurement experiment is performed. According to the experimental principle, the mathematical model is established. The equation of radiance and temperature is obtained. The inversion temperature depends on the equation. If each coefficient in the formula is analyzed, the accuracy of the inversion temperature can be obtained theoretically. Using Monte Carlo method, by constructing random number that matches the coefficient uncertainty in the above formula, is a good idea for temperature retrieval of simulation experiment. In this experiment, Phantom 3 of DJI-Innovation is used to simulate the target. The radiation intensity of target UAV is calculated, the absolute error of temperature retrieval reduces to 11 K, and relative error is just near 4%. This method has a significant error in temperature retrieval.
Secondly, in order to eliminate the impact of the emissivity, the experiment of dual-band colorimetry was carried out. Compared to single-band measurement experiment, the experimental principle is improved and the mathematical model is modified. The results show that radiation intensity of UAV is about 0.0486W/sr in middle IR wave and 0.6113 W/sr in long IR wave. The absolute error of temperature retrieval is reduced to 4 K, and relative error is just near 2%. Using atmospheric mode to calculate still has a large error.
At last, dual-band method based on black-body calibration is used to effectively solve the effects of atmospheric transmittance and atmospheric path radiation on infrared radiation characteristics measurement and temperature retrieval. The results show that radiation intensity of UAV is about 0.04 W/sr in middle IR wave and 0.5 W/sr in long IR wave. The absolute error of temperature retrieval reduces to 2 K, and relative error is just near 0.5%. Dual-band method based on black-body calibration can improve the precision of UAV temperature inversion extremely in contrast with the previous method.