1 September 1990 Unified framework for the synthesis of synthetic discriminant functions with reduced noise variance and sharp correlation structure
Author Affiliations +
Optical Engineering, 29(9), (1990). doi:10.1117/12.55698
Abstract
An inherent implementational limitation of the recently developed minimum average correlation energy (MACE) filters arises from the circular correlation implicit in the discrete frequency domain approach followed. An alternative methodology that uses space domain computations to overcome these limitations is presented. An improved synthetic discriminant function (SDF) that satisfies the conflicting requirements of reduced noise variance and sharp correlation peaks to facilitate ease of detection is developed by employing a unified framework for design. A quantitative evaluation of the performance characteristics of the new filter is conducted and is shown to compare favorably with the well known minimum variance SDF and the space domain MACE filter, which are special cases of the present design.
Subramania I. Sudharsanan, Abhijit Mahalanobis, Malur K. Sundareshan, "Unified framework for the synthesis of synthetic discriminant functions with reduced noise variance and sharp correlation structure," Optical Engineering 29(9), (1 September 1990). http://dx.doi.org/10.1117/12.55698
JOURNAL ARTICLE
8 PAGES


SHARE
KEYWORDS
Detection and tracking algorithms

Image filtering

Filtering (signal processing)

Linear filtering

Electronic filtering

Optical filters

Mahalanobis distance

RELATED CONTENT

A Study Of Clutter In Infrared Backgrounds
Proceedings of SPIE (September 16 1987)
Useful Image Transform Coefficients For Pattern Recognition
Proceedings of SPIE (December 07 1978)
Acousto-optic image correlators
Proceedings of SPIE (November 25 1992)

Back to Top