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A Study on a High Speed Computational Scheme for the Reflected IR Signal Component by Considering the BRDF

BRDF를 고려한 적외선 신호의 반사 성분 고속 연산기법에 관한 연구

  • Kim, Dong-Geon (Department of Mechanical Engineering, Chung-Ang University) ;
  • Han, Kuk-Il (Department of Mechanical Engineering, Chung-Ang University) ;
  • Choi, Jun-Hyuk (Department of Mechanical Engineering, Chung-Ang University) ;
  • Choi, Soon-Ho (Radar-PGM R&D Center, Hanwha Systems Co. Ltd.) ;
  • Kim, Tae-Kuk (Department of Mechanical Engineering, Chung-Ang University)
  • 김동건 (중앙대학교 기계공학부) ;
  • 한국일 (중앙대학교 기계공학부) ;
  • 최준혁 (중앙대학교 기계공학부) ;
  • 최순호 (한화시스템(주) 레이다-PGM 연구소) ;
  • 김태국 (중앙대학교 기계공학부)
  • Received : 2015.11.25
  • Accepted : 2017.01.06
  • Published : 2017.02.05

Abstract

This paper is a part of developing a computer code that can be used to generate synthetic IR images by calculating the outgoing infrared signal from objects. To predict the reflected component that is a part of the outgoing IR signal, such as those components reflected from the target surface by the solar and sky irradiations, it is necessary to calculate the complicated BRDF values for considering the directional surface reflection characteristics. Since the calculation of reflectance using the BRDF requires a large amount of computation time due to the hemispherical integral term, it is frequently restricted in applying for a real-time prediction of IR signal. In this research, the simplified method for calculating IR reflected component has been proposed by replacing the integral terms into two parts, a directionally uniform component and a step function representing the specular component, to reduce computation time. The proposed method is proved to result in very fast calculation of the BRDF (up to 600 times faster calculations) for most of the surfaces with minimal loss of the accuracy.

Keywords

References

  1. J. Choi, T. Park and T. Kim, "Modeling of Surface Temperature Characteristics on the Ground by using the Measured Weather Condition Data," Journal of the Korea Institute of Military Science and Technology, Vol. 13, No. 3, pp. 470-477, 2010.
  2. J. Schott, S. Brown, R. Raqueno, H. Gross, and G. Robinson, "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, 1999. https://doi.org/10.1080/07038992.1999.10874709
  3. F. Nicodemus, "Reflectance Nomenclature and Directional Reflectance and Emissivity", Applied Optics, Vol. 6, pp. 1474-1475, 1970.
  4. J. Choi and T. Kim, "Characteristics Analysis of IR Signatures for Different Optical Surface Properties by Computer Modeling and Field Measurement," Proc. of SPIE, 78301L-01-12, 2010.
  5. B. Sandford and L. Robertson, "Infrared Reflectance Properties of Aircraft Paint," Proc. IRIS Targets, Backgrounds and Discrimination, 1985.
  6. F. Nicodemus, J. Richmond, J. Hsia, I. Ginsberg and T. Limperis, "Geometrical Considerations and Nomenclature for Reflectance," Technical report, Department of Commerce, National Bureau of Standards, 1977.
  7. D. Kim, K. Han, J. Choi, J. Shin and T. Kim, "Study on Optimized Calculation Method of BRDF Reflectance for Real-time IR Signal Prediction," KIMST Annual Conference Proceeding, pp. 227-228, 2015.
  8. W. Ngan, "Acquisition and Modeling of Material Appearance," Ph.D. thesis, MIT, 2016.