Evidence theoretic approach for classification of HRR signatures

Raj K. Bhatnagar; Robert L. Williams; Tushar Kant

doi:10.1117/12.357656

13 August 1999 Evidence theoretic approach for classification of HRR signatures

Raj K. Bhatnagar, Robert L. Williams, Tushar Kant

Proceedings Volume 3721, Algorithms for Synthetic Aperture Radar Imagery VI; (1999) https://doi.org/10.1117/12.357656
Event: AeroSense '99, 1999, Orlando, FL, United States

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.

Citation Download Citation

Raj K. Bhatnagar, Robert L. Williams, and Tushar Kant "Evidence theoretic approach for classification of HRR signatures", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); https://doi.org/10.1117/12.357656

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