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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%.
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https://hal-supelec.archives-ouvertes.fr/hal-01104404
Contributor : Virginie Bouvier <>
Submitted on : Friday, January 16, 2015 - 4:22:48 PM
Last modification on : Friday, June 26, 2020 - 2:34:02 PM

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

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