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Proceedings Paper

Template matching techniques for automatic IR target recognition in real and simulated scenarios: tests and evaluations
Author(s): Gianluca Marsiglia; Luca Fortunato; Aurora Ondini; Giorgio Balzarotti
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Paper 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.

Paper Details

Date Published: 16 September 2003
PDF: 11 pages
Proc. SPIE 5094, Automatic Target Recognition XIII, (16 September 2003); doi: 10.1117/12.486065
Show Author Affiliations
Gianluca Marsiglia, FIAR SpA (Italy)
Luca Fortunato, FIAR SpA (Italy)
Aurora Ondini, FIAR SpA (Italy)
Giorgio Balzarotti, FIAR SpA (Italy)


Published in SPIE Proceedings Vol. 5094:
Automatic Target Recognition XIII
Firooz A. Sadjadi, Editor(s)

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