24 August 2000 Building class models for ATR
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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