Deep learning (DL) has emerged as a powerful tool in the field of remote sensing, particularly for processing images captured by unmanned aerial vehicles (UAVs). While it has yielded significant contributions across various applications, this review aims to provide a comprehensive understanding of the subject. The study encompasses a broad survey of state-of-the-art techniques and their practical applications on object detection in real-time drone surveillance.


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    Title :

    Applications of Deep Learning Algorithms for Object Detection in Real-time Drone Surveillance: Systematic Review, Recent developments and Open Issues


    Contributors:
    S.K, Shamitha (author) / Ilango, V. (author)


    Publication date :

    2024-01-11


    Size :

    4232496 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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