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ShipIR해석을 위한 기상데이터 분석법

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dc.contributor.authorDavid A. Vaitekunas-
dc.contributor.author김윤식-
dc.date.accessioned2021-12-08T17:40:32Z-
dc.date.available2021-12-08T17:40:32Z-
dc.date.issued20130502-
dc.identifier.urihttps://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/5030-
dc.description.abstractA key input to any thermal infrared signature model is the environment, more specifically the model inputs specific to the thermal infrared background model. This paper describes a new method of analysing the climatic data for input to ShipIR. Historical hourly data from a stationary marine buoy are used to select a small number of data points (N=100) to adequately cover the range of statistics (CDF, PDF) displayed by the original data set (S=46,072). The method uses a coarse bin (1/3) to subdivide the variable space (35=243 bins), and a single-point ranking system to select individual points so that uniform coverage (1/N = 0.01) is obtained for each variable. The selected data points are used in Vaitekunas and Kim (2013) to demonstrate how the new methodology is used to provide a more rigorous and comprehensive analysis of platform IR susceptibility based on the statistics of IR detection.-
dc.language영어-
dc.language.isoENG-
dc.titleShipIR해석을 위한 기상데이터 분석법-
dc.title.alternativeClimatic data analysis for input to ShipIR-
dc.typeConference-
dc.citation.titleConference of SPIE Defense, Security, and Sensing 2013-
dc.citation.volume1-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage8-
dc.citation.conferenceNameConference of SPIE Defense, Security, and Sensing 2013-
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