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

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Study on the Seasonal IR Signature Characteristics of a Naval Ship with Plume Gas Effect

배기가스를 고려한 함정의 계절별 적외선 신호 특성에 대한 연구

  • Received : 2013.05.20
  • Accepted : 2013.07.26
  • Published : 2013.08.05
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Abstract

This paper is a part of developing a computer code that can be used to generate IR images of a naval ship by considering the emitted and reflected infrared signals. The spectral radiance received by an IR sensor is consisted of the self-emitted component from the ship surface, the reflected component of the solar/sky irradiance at the ship surface, the emitted radiance from the ship surface and the exhaust plume gas, and the scattered radiance by the atmosphere. The plume gas radiance occupies a large part of the emitted radiance from a naval ship in operation. Therefore plume gas radiance must be taken into account when calculating the radiance from a naval ship for reliable IR images. In this paper, IR images of a naval ship with the exhaust gas effect in various environmental conditions are generated by using an exhaust gas prediction model called the JPL model. The contrast radiance (CR) values of the IR images are calculated to analyze the effect of the exhaust gas radiance quantitatively. The results obtained by quantitative analysis show that the IR signatures with the exhaust plume gas are 2.26 times larger than those neglecting the plume gas effect. The effect of the exhaust plume gas is shown to be more eminent in winter than in summer in the daytime.

Keywords

Acknowledgement

Supported by : 중앙대학교

References

  1. 최준혁, 이지선, 김정호, 이성호, 김태국, "대기온도 및 풍속 변화에 따른 함정의 적외선 신호 특성 분석", 한국군사과학기술학회지, 제11권 제5호, pp. 84-91, 2008.
  2. Schott. J. R., Brown. S. D., Raqueno. R. V., Gross. H. N., and Robinson. G., "An Advanced Synthetic Image Generation Model and Its Application to Multi/Hyperspectral Algorithm Development", Canadian Journal of Remote Sensing, Vol. 25, No. 2, pp. 99-111, June 1999. https://doi.org/10.1080/07038992.1999.10874709
  3. 최준혁, 김정호, 정인화, 이필호, 김태국, "거제도 해양의 여름 및 겨울철 환경에서 거리에 따른 대기투과도를 고려한 함정의 적외선 신호 특성 분석", 한국군사과학기술학회지, 제13권 제2호 pp. 320-327, 2010.
  4. Jacobs, P. A., Thermal Infrared Characterization of Ground Target and Backgrounds, SPIE Press, 2006.
  5. Fei Mei, Shiguo Chen, Yong Jiang, A Preliminary Model of Infrared Image Generation for Exhaust Plume, Graphics and Signal Processing, 2011, 4, 46-52.
  6. C. Ludwig, W. Malkmus, J. Reardon, and J. Thomson, Handbook of Infrared Radiation from Combustion Gases, NASA SP-3080, 1973.
  7. A. Berk, L. S. Bernstein and D. C. Robertson, "MODTRAN : A Moderate Resolution Model for Lowtran 7", GL-TR-89-C122, Spectral Sciences Inc., 1984, 4.
  8. S. Didi, Kuo, Synthetic Image Generation of Factory Stack and Water Cooling Tower Plumes, Ph.D. Dissertation, Rochester Institute of Technology, 1997.
  9. Digital Imaging and Remote Sensing Laboratory, Rochester, NY, The DIRSIG User's Manual, February 2006.
  10. 기상청 홈페이지, http://www.kma.go.kr/
  11. 길태준, 최준혁, 김정호, 김태국, "해양 환경을 고려한 센서 방위에 따른 함정과 배경 사이의 IR 복사대비 분석", 한국군사과학기술학회 종합학술대회, 2010.