통계적 방법을 이용한 적외선 신호 대비값 계산 방법 연구

다국어 초록 (Multilingual Abstract)

Infrared signals are frequently used to detect objects exposed to wide variety of environmental conditions. Detection by infrared signature is accomplished by distinguishing objects by using the IR radiant contrast between objects and the background. There are several methods of estimating the IR radiant contrast. The inverse distance weighting method, which is one of the IR radiant contrast estimation method using the effect of distance from objects, is known to be an effective way to analyze radiant contrast for complex backgrounds. However this method has a disadvantage of requiring a long calculation time. In this study we propose a statistical method of estimating the IR radiant contrast by using randomly selected pixels of arbitrary number among background pixels to reduce calculation time. Some measured IR images in MWIR and LWIR regions are used to test the applicability of the method proposed and we found that the proposed method is very effective in determining the IR radiant contrast showing very rapid estimation with minar accuracy loss.

참고문헌 (Reference)

1 최준혁, "물체의 표면 상태와 센서의 해상도에 따른 적외선 영상 구현 연구" 대한조선학회 47 (47): 342-349, 2010

2 Jacobs, P.A., "Thermal infrared characterization of ground target and backgrounds" SPIE press 2006

3 Stark, E., "SIMVEX 2001trial Radiant intensity contrast" FFI 2002

4 "Quantitative analysis method of the infrared signals using statistical method and apparatus thereof"

5 최준혁, "Numerical and experimental studies on characteristic surface temperature variations of aluminum plates facing different directions" 대한기계학회 24 (24): 2561-2566, 2010

6 Han, K.I, "Development of a Generalized S/W for IR Image Generation and Analysis" 155-157, 2016

7 김동건, "An estimation method for radiation contrast via the inverse distance weighting" 대한기계학회 29 (29): 2529-2533, 2015

8 Koretsky, G.M., "A tutorial on elecro-optical/infrared(EO/IR) theory and systems" IDA 2013