Identifying whether a drone is being used for recreational or malicious purposes, a process referred here as drone characterization, is essential for ensuring security, safety, and privacy. One of the most effective methods for this is applying deep learning to the drone's micro-Doppler spectrogram captured by radar. This article reviews current trends and future advancements in this field, focusing on less-explored deep learning approaches that have the potential for significant impact, rather than revisiting the more commonly discussed topics in the existing literature.


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    Title :

    Emerging Trends in Radar: Drone Characterization Using Deep Learning on Micro-Doppler Data


    Contributors:


    Publication date :

    2025-06-01


    Size :

    2111055 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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