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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    Title :

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


    Contributors:


    Publication date :

    2024-10-22


    Size :

    304952 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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