Automatic Target Recognition of Military Vehicles With Krawtchouk Moments

The challenge of automatic target recognition of military targets within a synthetic aperture radar scene is addressed in this paper. The proposed approach exploits the discrete-defined Krawtchouk moments, which are able to represent a detected extended target with few features, allowing its charact...

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Bibliographic Details
Published inIEEE transactions on aerospace and electronic systems Vol. 53; no. 1; pp. 493 - 500
Main Authors Clemente, Carmine, Pallotta, Luca, Gaglione, Domenico, De Maio, Antonio, Soraghan, John J.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.02.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithm design and analysis
Automatic target recognition
Automatic vehicle identification systems
Feature extraction
Image resolution
Military
Military vehicles
Noise sensitivity
Robustness
Synthetic aperture radar
Target detection
Target recognition
Training
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Summary:The challenge of automatic target recognition of military targets within a synthetic aperture radar scene is addressed in this paper. The proposed approach exploits the discrete-defined Krawtchouk moments, which 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 the presence of noise and reduced sensitivity to discretization errors. The effectiveness of the proposed approach is demonstrated using the MSTAR dataset.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2017.2649160