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Proceedings Paper

Demonstration of real-time automatic target identification from a surrogate UAV
Author(s): Peter Randall; Jonathan Wood; Jo Nothard; Jason Cowell; Karen Smart; Dan Pearce
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Paper Abstract

Airborne surveillance and targeting sensors are capable of generating large quantities of imagery, making it difficult for the user to find the targets of interest. Automatic target identification (ATI) can assist this process by searching for target-like objects and classifying them, thus reducing workload. ATI algorithms, developed in the laboratory by QinetiQ, have been implemented in real-time on ruggedised processing capable of flight. A series of airborne tests has been carried out to assess the performance of the ATI under real world conditions, using a Wescam EO/IR turret as the source of imagery. The tests included examples of military vehicles in urban and rural scenarios, with varying degrees of hide and concealment. Tests were conducted in different weather conditions to assess the robustness of the sensor and ATI combination. This paper discusses the tests carried out and the performance of the ATI achieved as a function of the test parameters. Conclusions are drawn as to the current state of ATI and its applicability to military requirements.

Paper Details

Date Published: 5 May 2006
PDF: 10 pages
Proc. SPIE 6209, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III, 62090B (5 May 2006); doi: 10.1117/12.666519
Show Author Affiliations
Peter Randall, QinetiQ (United Kingdom)
Jonathan Wood, QinetiQ (United Kingdom)
Jo Nothard, QinetiQ (United Kingdom)
Jason Cowell, QinetiQ (United Kingdom)
Karen Smart, QinetiQ (United Kingdom)
Dan Pearce, QinetiQ (United Kingdom)


Published in SPIE Proceedings Vol. 6209:
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications III
Daniel J. Henry, Editor(s)

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