24 August 2000 Building class models for ATR
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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.
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Raj K. Bhatnagar, Steven V. Myers, "Building class models for ATR", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396343; https://doi.org/10.1117/12.396343
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