What's hot and what's not: general principle for image understanding applied to combat vehicle identification

John Desomond O'Connor; Barbara L. O'Kane

doi:10.1117/12.395062

4 August 2000 What's hot and what's not: general principle for image understanding applied to combat vehicle identification

John Desomond O'Connor, Barbara L. O'Kane

Author Affiliations +

Proceedings Volume 4052, Signal Processing, Sensor Fusion, and Target Recognition IX; (2000) https://doi.org/10.1117/12.395062
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

A study was conducted with military users expert in vehicle identification to understand the effects of various types of prior knowledge on their performance in identifying vehicles in thermal imagery. Subject's abilities to identify line drawings and color photographs, as well as their ability to accurately describe vehicle engine and exhaust locations were compared to their ability to identify the same vehicles' thermal signatures. High correlation was found between identification performance on all types of prior knowledge and thermal imagery identification. The most significant correlation was knowledge of vehicle engine and exhaust locations with respect to thermal vehicle identification. The authors concluded that familiarity with vehicle sin line drawings and photos, without knowledge of thermal signature and emissive sources, such as engines and exhausts, was not sufficient for effective performance in combat vehicle identification with thermal sights.

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John Desomond O'Connor and Barbara L. O'Kane "What's hot and what's not: general principle for image understanding applied to combat vehicle identification", Proc. SPIE 4052, Signal Processing, Sensor Fusion, and Target Recognition IX, (4 August 2000); https://doi.org/10.1117/12.395062

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