Fusion of HRR and SAR information for Automatic Target Recognition and Classification

This paper explores the fusion of moving High Range Resolution (HRR) and stationary Synthetic Aperture Radar (SAR) for automatic target recognition and classification. The tradeoffs of resolution and time-to-classify are investigated through simulation. By using a fusion approach, targets are effectively classified in a multitargetmultisensor scenario; however the Bayesian analysis does not account for measurement confidences.

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