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Proceedings Paper

Strategy for combat vehicle thermal recognition training
Author(s): Barbara L. O'Kane; John Desomond O'Connor
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Paper Abstract

The difficult task of target recognition through thermal sights is critical to battlefield success and reduction of fratricide. All final decisions to shoot or not shoot reside with the human operator. Until now, little insight into effective human visual discrimination was applied to the thermal signature identification task. A new multimedia training software was developed at NVESD which trains thermal signatures based upon cognitive neuroscientific understanding of object recognition. An experiment with 109 soldiers at Ft. Hood, Texas indicates that the software effectively trains the shapes and locations of emissive sources (mainly engines and exhaust hot spots) of tactical ground vehicles, significantly improving combat vehicle recognition. Incorporation of object recognition theory into Assisted Target Recognition (ATR) implementations may yield significant improvements for detection and recognition of vehicle targets.

Paper Details

Date Published: 17 July 1998
PDF: 8 pages
Proc. SPIE 3374, Signal Processing, Sensor Fusion, and Target Recognition VII, (17 July 1998); doi: 10.1117/12.327098
Show Author Affiliations
Barbara L. O'Kane, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
John Desomond O'Connor, E-OIR Measurements Inc. (United States)


Published in SPIE Proceedings Vol. 3374:
Signal Processing, Sensor Fusion, and Target Recognition VII
Ivan Kadar, Editor(s)

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