2018DEStech Transactions on Engineering and Technology ResearchOpen access

Marine Environmental Data Sampling for IR Analysis of Naval Ship

Yong-Jin Cho, Sung-Bu Suh, Dae-Eun Ko

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Abstract

This study is on the sampling method of marine environmental data necessary for analyzing infrared signature of naval ships. We collected the latest marine weather data from the Korea Meteorological Administration. After outlier elimination by quality test, we reduced the data size through simple random sampling considering geopolitical threats and effective area of the buoys. Then, the sampling data size was set as 100, 200 and 400 considering the population size and 95% confidence level, and final sampling was done with the 2-dimensional stratified sampling method based on water and air temperature with high correlation. The results show that 100, 200 and 400 samples all well reflect the population characteristics and tendency, and there is no significant error in the population and samples. Therefore, it seems there is no problem in using 100 samples of marine weather data to save the time and cost in the process of analyzing infrared signature of naval ships.

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What this paper is about

This study is on the sampling method of marine environmental data necessary for analyzing infrared signature of naval ships. We collected the latest marine weather data from the Korea Meteorological Administration. After outlier elimination by quality test, we reduced the data size through simple random sampling considering geopolitical threats and effective area of the buoys. Then, the sampling data size was set as 100, 200 and 400 considering the population size and 95% confidence level, and final sampling was done with the 2-dimensional stratified sampling method based on water and air temperature with high correlation. The results show that 100, 200 and 400 samples all well reflect the population characteristics and tendency, and there is no significant error in the population and samples. Therefore, it seems there is no problem in using 100 samples of marine weather data to save the time and cost in the process of analyzing infrared signature of naval ships.

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Available abstract

This study is on the sampling method of marine environmental data necessary for analyzing infrared signature of naval ships. We collected the latest marine weather data from the Korea Meteorological Administration. After outlier elimination by quality test, we reduced the data size through simple random sampling considering geopolitical threats and effective area of the buoys. Then, the sampling data size was set as 100, 200 and 400 considering the population size and 95% confidence level, and final sampling was done with the 2-dimensional stratified sampling method based on water and air temperature with high correlation. The results show that 100, 200 and 400 samples all well reflect the population characteristics and tendency, and there is no significant error in the population and samples. Therefore, it seems there is no problem in using 100 samples of marine weather data to save the time and cost in the process of analyzing infrared signature of naval ships.

Key concepts: Sampling (signal processing), Environmental science, Stratified sampling, Population, Simple random sample, Outlier, Statistics, Meteorology

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