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Proceedings Paper

Algorithms for the categorization and identification of IR military signatures
Author(s): Simon Turbide; Tracy Smithson; Daniel St-Germain; Pierre Fournier
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Paper Abstract

Military targets such as aircrafts and flares do not exhibit unique infrared signatures; their emissions are dominated by combustion products (mostly water vapor, carbon dioxide and hydrogen chloride) and hot metal greybody emissions. An algorithm has thus been developed to categorize target signatures based on their emission source components. The signatures are then partitioned, based on their emission components, into groups of similar emission characteristics. Using previous trial data, seven unique flare categories were defined. A second algorithm was finally developed to exploit this signature description and interrogate individual field measurements for target detection and categorization.

Paper Details

Date Published: 17 August 2009
PDF: 12 pages
Proc. SPIE 7457, Imaging Spectrometry XIV, 74570R (17 August 2009); doi: 10.1117/12.828401
Show Author Affiliations
Simon Turbide, Defence Research and Development Canada (Canada)
Tracy Smithson, Defence Research and Development Canada (Canada)
Daniel St-Germain, Defence Research and Development Canada (Canada)
Pierre Fournier, Defence Research and Development Canada (Canada)

Published in SPIE Proceedings Vol. 7457:
Imaging Spectrometry XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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