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Conference Papers Year : 2014

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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Dates and versions

hal-01104404 , version 1 (16-01-2015)

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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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