Automatic recognition of military vehicles with Krawtchouk moments

Clemente, Carmine and Pallotta, Luca and Gaglione, Domenico and De Maio, Antonio and Soraghan, John J. (2017) Automatic recognition of military vehicles with Krawtchouk moments. IEEE Transactions on Aerospace and Electronic Systems, 53 (1). pp. 493-500. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2017.2649160)

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Abstract

The challenge of Automatic Target Recognition (ATR) of military targets within a Synthetic Aperture Radar (SAR) scene is addressed in this paper. The proposed approach exploits the discrete defined Krawtchouk moments, that are able to represent a detected extended target with few features, allowing its characterization. The proposed algorithm provides robust performance for target recognition, identification and characterization, with high reliability in presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.

ORCID iDs

Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Pallotta, Luca, Gaglione, Domenico ORCID logoORCID: https://orcid.org/0000-0001-7401-1659, De Maio, Antonio and Soraghan, John J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
CORE (COnnecting REpositories)