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Proceedings Paper

Building class models for ATR
Author(s): Raj K. Bhatnagar; Steven V. Myers
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Paper Abstract

Variability within a class of target vehicles seriously impacts the performance of a target recognition system. In this paper we present two main ideas about handling the intra- class variability. First, we develop a metric to quantify and understand the extent of variability within a class and second, we examine the class of T-72 tanks from the MSTAR public release data sets and attempt to make templates representative of the whole class.

Paper Details

Date Published: 24 August 2000
PDF: 10 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396343
Show Author Affiliations
Raj K. Bhatnagar, Univ. of Cincinnati (United States)
Steven V. Myers, Univ. of Cincinnati (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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