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Proceedings Paper

Analytical modeling for automatic target recognition performance evaluation
Author(s): Young Hwan Oh; Mark K. Cook
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Paper Abstract

There are two demanding needs which must be fulfilled to further the development of automatic target recognition systems. One is analytical modeling for performance prediction and the other is a disciplined evaluation methodology for automatic target recognition algorithms. Currently both areas are in their infancy. The analytical modeling for automatic target recognition performance evaluation and for prediction of algorithm performances has been investigated, both as they relate to human visual performances and as a tool for algorithm development. The matched filter approach presented a good limiting performance for target detection in uncluttered scenes with complete knowledge- of the target characteristics. The comparision of the matched filter detection performance to human performance model have produced some interesting results.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); doi: 10.1117/12.21803
Show Author Affiliations
Young Hwan Oh, Texas Instruments Inc. (United States)
Mark K. Cook, Texas Instruments Inc. (United States)


Published in SPIE Proceedings Vol. 1310:
Signal and Image Processing Systems Performance Evaluation
Hatem N. Nasr; Firooz A. Sadjadi, Editor(s)

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