Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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TEC-less Thermal Image Processing Method for Small Arms

소형 화기용 TEC-less 열상 처리 기법

  • Kwak, Dongmin (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Yoon, Joohong (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Yang, Dongwon (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Lee, Yonghun (The 5th Research and Development Institute, Agency for Defense Development) ;
  • Seo, Yongseok (The 5th Research and Development Institute, Agency for Defense Development)
  • 곽동민 (국방과학연구소 제5기술연구본부) ;
  • 윤주홍 (국방과학연구소 제5기술연구본부) ;
  • 양동원 (국방과학연구소 제5기술연구본부) ;
  • 이용헌 (국방과학연구소 제5기술연구본부) ;
  • 서용석 (국방과학연구소 제5기술연구본부)
  • Received : 2018.11.12
  • Accepted : 2019.03.08
  • Published : 2019.04.05
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Abstract

This paper describes a thermal image processing algorithm for uncooled type TEC-less IR detector which is applicable to fire control system of small arms. We implemented a real-time gain and offset compensation algorithm based on polynomial approximation from the raw dataset which is acquired by two reference temperature of blackbody from various FPA(Focal Plane Array) temperature. Through the experiment, we analyzed the output characteristics of detector's raw-data and compared IR image quality to traditional non-uniformity correction method. It shows that the proposed method works well in all FPA temperature range with low residual non-uniformity.

Keywords

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Fig. 1. Output characteristics of uncooled FPA IR detector with TEC

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Fig. 2. Detector(1cell) output change according to FPA temperature variation

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Fig. 3. Detector(1cell) output difference of 2 black body temperatures according to FPA temperature variation

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Fig. 4. Flow chart of proposed TEC-less thermal image processing method

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Fig. 5. Raw data acquisition environment for TEC-less coefficients

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Fig. 6. The comparing result of polynomial curve fitting using 2nd order and 3rd order coefficients

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Fig. 7. Output data curve of 30 ℃ blackbody target according to FPA temperature variation

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Fig. 8. Image quality comparison according to FPA temperature change

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Fig. 9. RNU results for FPA temperature variation

Table 1. IR detector specifications for experiment

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Table 2. RNU results for FPA temperature variation

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References

  1. Dongmin Kwak, Dongwon Yang, Younghun Lee, and Younsik Kang, "Algorithm Design of TECLESS IR Image Processing for Small Arms," KIMST Autumnl Conference Proceedings, 2016.
  2. Giyeul Sung, Dongmin Kwak, Kiho Kwak, Dojong Kim and Joon Lyou, “Low Power IR Module Design for Small Arms Using Un-cooled Type Detector,” Journal of the Korea Institute of Military Science and Technology, Vol. 10, No. 4, pp. 138-144, 2007.
  3. A. Rogalski, "Infrared Detectors for the Future," Optical and Acoustical Methods in Science and Technology, Vol. 116, No. 3, pp. 389-406. 2009.
  4. Sanghyuck Han and Dongmin Kwak, “Dynamic Calibration Coefficients Estimation with Linear Interpolation for Uncooled TEC-less IRFPA,” Journal of Korea Society for Aeronautical & Space Sciences, Vol. 11, No. 1, pp. 98-101, 2012.
  5. Qu Hui-Ming, Gong Jing-tan, Huang Yuan and Chen Qian, "New Non-uniformity Correction Approach for Infrared Focal Plane Arrays Imaging," Journal of the Optical Society of Korea, Vol. 17, No. 2, pp. 213-218, 2013. https://doi.org/10.3807/JOSK.2013.17.2.213
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  7. Yogesh Shinde and Arup Banerjee, "Design and Calibration Approach for Shutter-less Thermal Imaging Camera without Thermal Control," IEEE 6th International Conference on Sensing Technology, pp. 259-264, 2012.
  8. Michal Krupiński et. al., "Non-uniformity Correction with Temperature Influence Compensation in Microbolometer Detector," Proc. of SPIE Vol. 9481. 948113, 2015.