Paper
28 March 2005 Extended tradeoff parameters for composite correlation filters
Author Affiliations +
Abstract
Composite correlation filters have been demonstrated in many automatic target recognition (ATR) applications because of their ability for class recognition and distortion-tolerance with shift invariance. Both the optimal tradeoff synthetic discriminant function (OTSDF) filters and optimal tradeoff distance classifier correlation filter (OTDCCF) approaches use parameters to combine multiple characteristics. Usually a set of filters is grouped into a bank for recognizing multiple targets across multiple geometric distortions. We extend these approaches to use independent tradeoff parameters in the filter synthesis for each class and grouping bin to improve classification. A method for determining the extended parameters is presented. Test results using the public SAR imagery MSTAR database are shown.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel W. Carlson "Extended tradeoff parameters for composite correlation filters", Proc. SPIE 5816, Optical Pattern Recognition XVI, (28 March 2005); https://doi.org/10.1117/12.602430
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image filtering

Tolerancing

Composites

Synthetic aperture radar

Automatic target recognition

Target recognition

Image classification

Back to Top