Identifying objects from satellite images can be challenging because of their varying visible qualities, hampering their value in some scenarios such as urban planning or responses to emergencies. The ability to detect vehicles and other elements in satellite imagery can give vital information on latest military developments of adversaries, especially when planning for military operations. This study addresses the detection of military objects with more accuracy by studying YOLOv8 with optimized YOLOv8 architecture improving real-time object detection capabilities.


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    Titel :

    Military Based Object Detection in Satellite Imagery by Optimising YOLOv8


    Beteiligte:
    Singh, Swati (Autor:in) / G N, Ratna (Autor:in)


    Erscheinungsdatum :

    22.07.2024


    Format / Umfang :

    1278288 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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