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http://dx.doi.org/10.6112/kscfe.2017.22.1.037

STUDY ON STATISTICAL ESTIMATION OF IRRADIANT CONTRAST  

Han, K.I. (Dept. of Mechanical Engineering, Chung-Ang Univ.)
Choi, J.H. (Dept. of Mechanical Engineering, Chung-Ang Univ.)
Ha, N.K. (Seeker & EO/IR R&D Lab., LIGNex1 Co., Ltd.)
Jang, H.S. (Seeker & EO/IR R&D Lab., LIGNex1 Co., Ltd.)
Lee, S.H. (Seeker & EO/IR R&D Lab., LIGNex1 Co., Ltd.)
Kim, D.G. (M&S R&D Lab., LIGNex1 Co., Ltd.)
Kim, T.K. (Dept. of Mechanical Engineering, Chung-Ang Univ.)
Publication Information
Journal of computational fluids engineering / v.22, no.1, 2017 , pp. 37-42 More about this Journal
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.
Keywords
Infrared Signal; IR Radiant Contrast; Statistical Method; Inverse Distance Weighting Method;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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