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Proceedings Paper

Target identification and sensor performance (TISP) imagery-based targeting trainer
Author(s): Edwin S. Gaynor; Charles Moore; Michael Coppola; Jason Bassingthwaite
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Paper Abstract

We describe signature and sensor modeling developments associated with the target identification sensor performance (TISP) imagery- based targeting trainer. The purpose of TISP is to train with a personal computer (PC), IR ground vehicle identification as well as IR and visible imaging principles and the impact of these principles on targeting performance. The generic TISP concept is illustrated as it applies to the new night targeting system (NTS) Laser Range Finder/Designator and IR and visible imaging sensors supporting TOW and HELLFIRE operations on the Marine Corps AH-1W Cobra. Ground vehicle identification skills are developed in TISP using real IR imagery with identification cues. TISP trains FLIR environmental and sensor effects as well as IR principles using real IR imagery coupled with graphical tutorials. Novel algorithms are applied to modify imagery in response to user control over environmental conditions such as weather and time of day, and sensor settings, such as gain, level, field of view (FOV) and polarity. Environmentally dependent range performance predictions for tactical targeting are interactively displayed, also using real imagery coupled with graphics. TISP contains imagery of sixty ground vehicles and five backgrounds.

Paper Details

Date Published: 8 July 1994
PDF: 7 pages
Proc. SPIE 2224, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing V, (8 July 1994); doi: 10.1117/12.180073
Show Author Affiliations
Edwin S. Gaynor, DCS Corp. (United States)
Charles Moore, DCS Corp. (United States)
Michael Coppola, DCS Corp. (United States)
Jason Bassingthwaite, DCS Corp. (United States)

Published in SPIE Proceedings Vol. 2224:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing V
Gerald C. Holst, Editor(s)

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