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Issue No.05 - May (2005 vol.27)
pp: 817-821
ABSTRACT
One of the central problems in Automated Target Recognition is to accommodate the infinite variety of clutter in real military environments. The principle focus of our paper is on the construction of metric spaces where the metric measures the distance between objects of interest invariant to the infinite variety of clutter. Such metrics are formulated using second-order random field models. Our results indicate that this approach significantly improves detection/classification rates of targets in clutter.
INDEX TERMS
Riemannian metrics, deformable templates, Automated Target Recognition (ATR).
CITATION
Dmitri Bitouk, Michael I. Miller, Laurent Younes, "Clutter Invariant ATR", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.27, no. 5, pp. 817-821, May 2005, doi:10.1109/TPAMI.2005.97
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