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Proceedings Paper

Performance evaluation of optimal filters for target detection using SAR imagery
Author(s): Mohammad S. Alam; Jed Khoury; Partha P. Banerjee; William M. Durant; Daniel M. Martin; Georges T. Nehmetallah
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Paper Abstract

Various matched filter based architectures have been proposed over the last two decades to optimize the target detection and recognition performance. While these techniques provide excellent performance with respect to one or more parameters, a unified and synergistic approach to evaluate the performance of these techniques under the same constraints is yet to be done. Consequently, in this paper, we used a set of generalized performance metrics for comparing the performance of the recently reported matched filter based techniques using various types of infrared and SAR datasets. Test results obtained using the aforementioned datasets and performance metrics provide excellent information with respect to the suitability of existing filter based techniques for various target detection and tracking practical applications.

Paper Details

Date Published: 5 May 2014
PDF: 12 pages
Proc. SPIE 9094, Optical Pattern Recognition XXV, 90940C (5 May 2014); doi: 10.1117/12.2054358
Show Author Affiliations
Mohammad S. Alam, Univ. of South Alabama (United States)
Jed Khoury, Air Force Research Lab. (United States)
Partha P. Banerjee, Univ. of Dayton (United States)
William M. Durant, Univ. of South Alabama (United States)
Daniel M. Martin, Univ. of South Alabama (United States)
Georges T. Nehmetallah, Univ. of Dayton (United States)

Published in SPIE Proceedings Vol. 9094:
Optical Pattern Recognition XXV
David Casasent; Tien-Hsin Chao, Editor(s)

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