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18 September 1998 Construction of hybrid templates from collected and simulated data for SAR ATR algorithms
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In this paper we describe a hybrid method of using collected and computer generated signatures for Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) algorithms. Currently, there is significant activity in developing both model-based (e.g. MSTAR) and collected template-based (e.g. STARLOS, SAIP) approaches. Each approach has significant strengths and weaknesses. The strength of the model-based approach is that it can finely sample the many competing hypotheses that describe the data under test. Collected template-based approaches have a strong sense of realism due to the fact that the templates were collected using actual deployed targets and SAR systems. A hybrid approach attempts to meld the strengths of both. We describe methodologies for determining which segments of a reference signature should be provided by collected data or models and how they should be combined. We also show that these new hybrid templates outperform either a model-only or collected template-only approach for target classification. ATR performance results are provided in the form of ROC curves. Also, some topics for future research are discussed.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajesh Sharma and Nikola S. Subotic "Construction of hybrid templates from collected and simulated data for SAR ATR algorithms", Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998);


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