BRDF를 고려한 적외선 신호의 반사 성분 고속 연산기법에 관한 연구 = A Study on a High Speed Computational Scheme for the Reflected IR Signal Component by Considering the BRDF

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 최준혁, "측정된 기상 조건 데이터를 이용한 지상물체의 표면온도 특성 연구" 한국군사과학기술학회 13 (13): 470-477, 2010

2 D. Kim, "Study on Optimized Calculation Method of BRDF Reflectance for Real-time IR Signal Prediction" 227-228, 2015

3 F. Nicodemus, "Reflectance Nomenclature and Directional Reflectance and Emissivity" 6 : 1474-1475, 1970

4 B. Sandford, "Infrared Reflectance Properties of Aircraft Paint" 1985

5 F. Nicodemus, "Geometrical Considerations and Nomenclature for Reflectance" Department of Commerce, National Bureau of Standards 1977

6 J. Choi, "Characteristics Analysis of IR Signatures for Different Optical Surface Properties by Computer Modeling and Field Measurement" 2010

7 J. Schott, "An Advanced Synthetic Image Generation Model and its Application to Multi/Hyperspectral Algorithm Development" 25 (25): 99-111, 1999

8 W. Ngan, "Acquisition and Modeling of Material Appearance" MIT 2016