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Proceedings Paper

Development of scale model imagery for ATR investigations
Author(s): John M. Irvine; Stuart Bergeron; Nathaniel T. Delp; Derek R. Lewis
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Paper Abstract

Automated target recognition (ATR) methods hold promise for rapid extraction of critical information from imagery data to support military missions. Development of ATR tools generally requires large amounts of imagery data to develop and test algorithms. Deployment of operational ATR systems requires performance validation using operationally relevant imagery. For early algorithm development, however, restrictions on access to such data is a significant impediment, especially for the academic research community. To address this limitation, we have developed a set of grayscale imagery as a surrogate for panchromatic imagery that would be acquired from airborne sensors. This surrogate data set consists of imagery of ground order of battle (GOB) targets in an arid environment. The data set was developed by imaging scale models of these targets set in a scale model background. The imagery spans a range of operating conditions and provides a useful image set for initial explorations of new approaches for ATR development.

Paper Details

Date Published: 18 May 2006
PDF: 8 pages
Proc. SPIE 6234, Automatic Target Recognition XVI, 623411 (18 May 2006); doi: 10.1117/12.665201
Show Author Affiliations
John M. Irvine, SAIC (United States)
Stuart Bergeron, SAIC (United States)
Nathaniel T. Delp, SAIC (United States)
Derek R. Lewis, SAIC (United States)

Published in SPIE Proceedings Vol. 6234:
Automatic Target Recognition XVI
Firooz A. Sadjadi, Editor(s)

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