Temporal Deep Learning for Drone Micro-Doppler Classification - Sorbonne Université
Communication Dans Un Congrès Année : 2018

Temporal Deep Learning for Drone Micro-Doppler Classification

Frédéric Barbaresco
Jean-Yves Schneider
  • Fonction : Auteur
Matthieu Cord

Résumé

Our work builds temporal deep learning architectures for the classification of time-frequency signal representations on a novel model of simulated radar datasets. We show and compare the success of these models and validate the interest of temporal structures to gain on classification confidence over time.
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Dates et versions

hal-02290839 , version 1 (18-09-2019)

Identifiants

Citer

Daniel Brooks, Olivier Schwander, Frédéric Barbaresco, Jean-Yves Schneider, Matthieu Cord. Temporal Deep Learning for Drone Micro-Doppler Classification. IRS 2018 - 19th International Radar Symposium, Jun 2018, Bonn, Germany. ⟨10.23919/IRS.2018.8447963⟩. ⟨hal-02290839⟩
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