Recognition of Airplanes Using Merged Subspace Classifiers

Abstract : Air-traffic controllers cannot identify airplanes flying with a defective or non-existent transponder. Primary radars do not help since they cannot classify airplanes from echoes. Passive radars offer a potential solution, the main difficulty lying in the analysis of the data. In this paper, we present an automatic target recognition system capable of recognizing airplanes observed with a passive radar. The recognition system relies on the variation of radar cross-section (RCS) of airplanes. Airplanes are recognized by merging the outputs of a grid of parallel classifiers based on subspace methods. The recognition experiments we performed give a correct recognition rate of about 88%.
Type de document :
Communication dans un congrès
2014 IEEE Radar Conference , May 2014, Cincinnati, United States. Proceedings of the 2014 IEEE Radar Conference, pp.0556 - 0560, 2014, 〈10.1109/RADAR.2014.6875654〉
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https://hal-supelec.archives-ouvertes.fr/hal-01104404
Contributeur : Virginie Bouvier <>
Soumis le : vendredi 16 janvier 2015 - 16:22:48
Dernière modification le : jeudi 5 avril 2018 - 12:30:11

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Jonathan Pisane, Sylvain Azarian, Marc Lesturgie, Xin Guo. Recognition of Airplanes Using Merged Subspace Classifiers. 2014 IEEE Radar Conference , May 2014, Cincinnati, United States. Proceedings of the 2014 IEEE Radar Conference, pp.0556 - 0560, 2014, 〈10.1109/RADAR.2014.6875654〉. 〈hal-01104404〉

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