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Proceedings Paper

Clutter rejection via the wavelet transform for improved target detection using the projection-slice synthetic discriminant function filters
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Paper Abstract

The projection slice filter is modified to include a noise cancellation algorithm for applications to real data with cluttered noise. The wavelet transform has been utilized in the color noise estimation process. The results of the application of these new techniques to the processing of real data with significant clutter components is reported. The techniques used here are part of an ongoing effort to improve the performance of correlation-based systems for fast recognition scenarios.

Paper Details

Date Published: 31 March 2000
PDF: 7 pages
Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381593
Show Author Affiliations
Vahid R. Riasati, Univ. of South Alabama (United States)
Tien-Hsin Chao, Jet Propulsion Lab. (United States)
Hanying Zhou, Jet Propulsion Lab. (United States)
Don A. Gregory, Univ. of Alabama in Huntsville (United States)


Published in SPIE Proceedings Vol. 4043:
Optical Pattern Recognition XI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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