This work is devoted to the use of unmanned aerial vehicles (UAVs) to solve the problem of humanitarian demining. It is proposed to use a hyperspectral camera as a measuring element. The initial problem is the task of detecting and identifying the PFM-1 anti-personnel mine, which is dropped on large areas from a UAV. Processing of hyperspectral images is carried out based on the use of convolutional neural networks. An example of using the proposed approach is considered.


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    Titel :

    Application of Unmanned Aerial Vehicles for Landmine Detection and Classification using Hyperspectral Imagery


    Beteiligte:


    Erscheinungsdatum :

    22.10.2024


    Format / Umfang :

    304952 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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