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Proceedings Paper

Down selection of climatic data for infrared signature modelling
Author(s): Ian L. Kermonde; Frank Drost; Rodney A. J. Borg
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Paper Abstract

The Infrared signature of a defence platform is strongly influenced by environmental conditions. This paper will outline two alternative methods to select a subset of climatic data to represent a large dataset as an input for Infrared signature modelling. A binning and ranking algorithm first presented by Vaitekunas and Kim (2013) will be compared with a genetic algorithm. The results for five different geographic locations will be assessed by comparing the cumulative distribution functions of the subset and the original dataset. Quantile-Quantile plots and the Kolmogorov-Smirnov statistic will be used to assess the solutions for the two different algorithms.

Paper Details

Date Published: 26 April 2018
PDF: 8 pages
Proc. SPIE 10625, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX, 106250C (26 April 2018); doi: 10.1117/12.2304657
Show Author Affiliations
Ian L. Kermonde, Defence Science and Technology Group (Australia)
Frank Drost, Defence Science and Technology Group (Australia)
Rodney A. J. Borg, Defence Science and Technology Group (Australia)


Published in SPIE Proceedings Vol. 10625:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIX
Gerald C. Holst; Keith A. Krapels, Editor(s)

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