ShipIR해석을 위한 기상데이터 분석법
DC Field | Value | Language |
---|---|---|
dc.contributor.author | David A. Vaitekunas | - |
dc.contributor.author | 김윤식 | - |
dc.date.accessioned | 2021-12-08T17:40:32Z | - |
dc.date.available | 2021-12-08T17:40:32Z | - |
dc.date.issued | 20130502 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/5030 | - |
dc.description.abstract | A 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.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | ShipIR해석을 위한 기상데이터 분석법 | - |
dc.title.alternative | Climatic data analysis for input to ShipIR | - |
dc.type | Conference | - |
dc.citation.title | Conference of SPIE Defense, Security, and Sensing 2013 | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 8 | - |
dc.citation.conferenceName | Conference of SPIE Defense, Security, and Sensing 2013 | - |
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