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Proceedings Paper

Analysis of signal-to-noise ratio of polynomial correlation filters
Author(s): Khalid Al-Mashouq; Bhagavatula Vijaya Kumar; Mohamed Alkanhal
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Paper Abstract

In this paper we present a variation of the polynomial correlation filter (PCF) called constrained correlation polynomial filter (CPCF). We investigate the performance of this filter in the presence of noise. The peak-to-sidelobe ratio measure and the public MSTAR images database are used for evaluation. The effect of different terms in the polynomial filter is examined by simulation. Then, we introduce a theoretical framework called energy projection to predict the effectiveness of different terms in the CPCF.

Paper Details

Date Published: 9 March 1999
PDF: 7 pages
Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); doi: 10.1117/12.341324
Show Author Affiliations
Khalid Al-Mashouq, Carnegie Mellon Univ. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Mohamed Alkanhal, Carnegie Mellon Univ. (Saudi Arabia)


Published in SPIE Proceedings Vol. 3715:
Optical Pattern Recognition X
David P. Casasent; Tien-Hsin Chao, Editor(s)

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