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Proceedings Paper

Construction of hybrid templates from collected and simulated data for SAR ATR algorithms
Author(s): Rajesh Sharma; Nikola S. Subotic
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Paper Abstract

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.

Paper Details

Date Published: 18 September 1998
PDF: 7 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323865
Show Author Affiliations
Rajesh Sharma, ERIM International, Inc. (United States)
Nikola S. Subotic, ERIM International, Inc. (United States)

Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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