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Temporal Deep Learning for Drone Micro-Doppler Classification

Abstract : 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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https://hal.archives-ouvertes.fr/hal-02290839
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Submitted on : Wednesday, September 18, 2019 - 7:44:25 AM
Last modification on : Monday, December 6, 2021 - 5:12:03 PM
Long-term archiving on: : Sunday, February 9, 2020 - 3:03:14 AM

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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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