Test results of Automatic Target Recognition of IR images are described. They are mainly based on Template Matching Techniques and Synthetic Discriminant Functions filters are adopted to increase the robustness of the method and to reduce computational load. Extensive tests are performed with a number of different scenarios and image noise levels. Dedicated refinements and operative adjustments to traditional approaches are implemented and described. The work has been originated with digitally generated target databases and proceeds with real IR images.
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