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통계적 방법을 이용한 적외선 신호 대비값 계산 방법 연구STUDY ON STATISTICAL ESTIMATION OF IR RADIANT CONTRAST

Authors
한국일최준혁하남구장현성이승하김동건김태국
Issue Date
2017
Publisher
한국전산유체공학회
Keywords
Infrared Signal; IR Radiant Contrast; Statistical Method; Inverse Distance Weighting Method; 적외선 신호; 적외선 신호 대비값; 통계적 방법; 역거리 가중 방법
Citation
한국전산유체공학회지, v.22, no.1, pp 37 - 42
Pages
6
Journal Title
한국전산유체공학회지
Volume
22
Number
1
Start Page
37
End Page
42
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/5927
DOI
10.6112/kscfe.2017.22.1.037
ISSN
1598-6071
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.
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.
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