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Proceedings Paper

Study of ATR detection performance degradation caused by geometrically induced aspect error
Author(s): Alan R. England; Young Hwan Oh
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Paper Abstract

The complex relationships between the vast number of system parameters make the evaluation of automatic target recognition algorithms a most complicated task. The sensor and system parameters, and environment, all play a key role in the performance of ATR systems. Consequently, a more complete performance model will require some or all of these parameters to be incorporated in the model design. Unfortunately, parameters like environment and opponent's strategy are virtually impossible to model at all but the most abstract levels. When the actual approach angle differs from the expected approach angle, several errors occur in template matching ATR algorithms and degrades the performance of ATR systems. This paper describes an effort which concentrated on the modeling of geometrically induced errors in ATR performance. Our effort was focused on the performance degradation caused by geometrically induced errors such as an aspect error. There is much merit to matched filter techniques and therefore the matched filter based analytical model is enhanced for the detection performance measure in the problem depicted above.

Paper Details

Date Published: 16 September 1992
PDF: 11 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138267
Show Author Affiliations
Alan R. England, Texas Instruments Inc. (United States)
Young Hwan Oh, Texas Instruments Inc. (United States)

Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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