13 August 1999 Evidence theoretic approach for classification of HRR signatures
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raj K. Bhatnagar, Raj K. Bhatnagar, Robert L. Williams, Robert L. Williams, Tushar Kant, Tushar Kant, } "Evidence theoretic approach for classification of HRR signatures", Proc. SPIE 3721, Algorithms for Synthetic Aperture Radar Imagery VI, (13 August 1999); doi: 10.1117/12.357656; https://doi.org/10.1117/12.357656
PROCEEDINGS
9 PAGES


SHARE
Back to Top