The task of creating and establishing a hypopharyngeal neural network for recognizing camouflaged objects from unmanned lethal vehicles in a conflict environment is considered. Evidence of UAV navigation in the field of radio-electronic warfare has been established based on high-quality images of locality. Based on the establishment of hybrid hypothalamic neural networks, an experimental verification of the effectiveness of masking objects with herbaceous plantings was carried out. The robot has carried out the results of the investigation, taken on the basis of high-quality photographs from the Internet, where there are gardens with herbaceous plantings and the collection of plants that are The situation turned out to be practically unattainable in order to change the recognition of camouflaged objects from the vicinity of neural networks for UAV navigation.


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    Titel :

    Application of Convolutional Neural Network for Recognition of Cloaked Objects from UAVs


    Beteiligte:


    Erscheinungsdatum :

    22.10.2024


    Format / Umfang :

    682569 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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