Temporal Deep Learning for Drone Micro-Doppler Classification

Daniel Brooks (1, 2) , Olivier Schwander (2) , Frédéric Barbaresco (3) , Jean-Yves Schneider , Matthieu Cord (2)

1 Thales LAS France
2 MLIA - Machine Learning and Information Access
3 Thales Air Systems

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.

Domaines: Intelligence artificielle [cs.AI]

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⟩