Analysis of signal-to-noise ratio of polynomial correlation filters

Khalid Al-Mashouq; Bhagavatula Vijaya Kumar; Mohamed Alkanhal

doi:10.1117/12.341324

9 March 1999 Analysis of signal-to-noise ratio of polynomial correlation filters

Khalid Al-Mashouq, Bhagavatula Vijaya Kumar, Mohamed Alkanhal

Proceedings Volume 3715, Optical Pattern Recognition X; (1999) https://doi.org/10.1117/12.341324
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Khalid Al-Mashouq, Bhagavatula Vijaya Kumar, and Mohamed Alkanhal "Analysis of signal-to-noise ratio of polynomial correlation filters", Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); https://doi.org/10.1117/12.341324

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