Sensitivity of infrared ship signature analysis to climatic data sampling methods

David A. Vaitekunas; Seoktae Yoon; Yong-Jin Cho

doi:10.1117/12.2663482

14 June 2023 Sensitivity of infrared ship signature analysis to climatic data sampling methods

David A. Vaitekunas, Seoktae Yoon, Yong-Jin Cho

Author Affiliations +

Proceedings Volume 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV; 125330F (2023) https://doi.org/10.1117/12.2663482
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Numerous studies have been conducted over the past decade to adequately sample the large amount of measured marine climate data for input to the design of a new naval surface combatant. Some of these involve the direct use of actual measured data (Vaitekunas and Kim, 2013) while others have reduced the complexity of the problem by focussing on the highly correlated data (e.g., air-sea temperature difference) while assuming the low to medium correlated data are simply uncorrelated (Cho, 2017). This paper will compare the two methods for a large data set off the Korean peninsula, spanning 5 years and 17 buoy locations. A follow-on analysis will compare the sensitivity of IR signature and IR susceptibility of a candidate ship (unclassified ShipIR model of a DDG class) to the variation in size, number of locations, and time span of the marine data being sampled.

Conference Presentation

Citation Download Citation

David A. Vaitekunas, Seoktae Yoon, and Yong-Jin Cho "Sensitivity of infrared ship signature analysis to climatic data sampling methods", Proc. SPIE 12533, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXXIV, 125330F (14 June 2023); https://doi.org/10.1117/12.2663482

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