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Proceedings Paper

Evidence theoretic approach for classification of HRR signatures
Author(s): Raj K. Bhatnagar; Robert L. Williams; Tushar Kant
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Paper Abstract

Target recognition with an HRR signature can be viewed as consisting of pre-discriminant, discriminant, and post discriminant phases. The large variability and feature uncertainty of HRR signatures can, to a good extent, be handled by detailed modeling of underlying physical and electro-magnetic phenomena. However, some signature and feature variabilities pass through and continue to exist in the post-discriminant phase. A decision about the class of a signature must account for this residual uncertainty. In this paper we demonstrate an evidence theory based method for post- discriminant decision-making phase that minimizes the effects of the signature variability.

Paper Details

Date Published: 13 August 1999
PDF: 9 pages
Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357656
Show Author Affiliations
Raj K. Bhatnagar, Univ. of Cincinnati (United States)
Robert L. Williams, Air Force Research Lab. (United States)
Tushar Kant, Univ. of Cincinnati (United States)


Published in SPIE Proceedings Vol. 3721:
Algorithms for Synthetic Aperture Radar Imagery VI
Edmund G. Zelnio, Editor(s)

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