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Proceedings Paper

Eigen detection filters that reject unseen clutter
Author(s): Rajesh Shenoy; David P. Casasent
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Paper 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.

Paper Details

Date Published: 27 March 1997
PDF: 6 pages
Proc. SPIE 3073, Optical Pattern Recognition VIII, (27 March 1997); doi: 10.1117/12.270401
Show Author Affiliations
Rajesh Shenoy, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 3073:
Optical Pattern Recognition VIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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