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
Radar Conference 2014, 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 9 février 2017 - 15:34:57

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Jonathan Pisane, Sylvain Azarian, Marc Lesturgie, Xin Guo. Recognition of Airplanes Using Merged Subspace Classifiers. Radar Conference 2014, 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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