Paper
27 March 1997 Eigen detection filters that reject unseen clutter
Rajesh Shenoy, David P. Casasent
Author Affiliations +
Abstract
Detection requires locating all objects in a scene independent of their class or aspect view and rejecting clutter. We consider new eigen filters to achieve this. They can be implemented on optical or digital correlators. Shift-invariance is required. These filters must also reject unseen clutter. Test results are presented for multi-class Synthetic Aperture Radar (SAR) data.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajesh Shenoy and David P. Casasent "Eigen detection filters that reject unseen clutter", Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); https://doi.org/10.1117/12.270401
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Cited by 1 scholarly publication.
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KEYWORDS
Image filtering

Synthetic aperture radar

Data modeling

Databases

Detection and tracking algorithms

Gaussian filters

Image compression

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