Template matching techniques for automatic IR target recognition in real and simulated scenarios: tests and evaluations

Gianluca Marsiglia; Luca Fortunato; Aurora Ondini; Giorgio Balzarotti

doi:10.1117/12.486065

16 September 2003 Template matching techniques for automatic IR target recognition in real and simulated scenarios: tests and evaluations

Gianluca Marsiglia, Luca Fortunato, Aurora Ondini, Giorgio Balzarotti

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Proceedings Volume 5094, Automatic Target Recognition XIII; (2003) https://doi.org/10.1117/12.486065
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Test results of Automatic Target Recognition of IR images are described. They are mainly based on Template Matching Techniques and Synthetic Discriminant Functions (SDF) 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 adjustements 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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Gianluca Marsiglia, Luca Fortunato, Aurora Ondini, and Giorgio Balzarotti "Template matching techniques for automatic IR target recognition in real and simulated scenarios: tests and evaluations", Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); https://doi.org/10.1117/12.486065

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