UAV reconnaissance has become an important means of battlefield reconnaissance and has received much attention in the military development of various countries. Therefore, UAV target detection accuracy is an important factor that restricts the effectiveness of military reconnaissance. How to improve the efficiency of UAV target detection and design high-precision neural network algorithms is the main direction of research in this paper. In this paper, for the current UAV target detection accuracy is not high, the FPG-based Transformer algorithm is proposed, which is mainly based on the Transformer, the Transformer Block is improved, and at the same time, the FPG pyramid structure is introduced in the downstream task, and the results show that, after the improvement of the Transformer, it improves the target detection accuracy, which is conducive to improving the accuracy of UAV reconnaissance.


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    Titel :

    FPG-based transformer UAV tank target detection


    Beteiligte:
    Nayyar, Anand (Herausgeber:in) / Kolivand, Hoshang (Herausgeber:in) / Wang, Fenmei (Autor:in) / Liu, Cheng (Autor:in) / Zhang, Tao (Autor:in) / Wang, Xiuzhen (Autor:in)

    Kongress:

    Fourth International Conference on Signal Processing and Computer Science (SPCS 2023) ; 2023 ; Guilin, China


    Erschienen in:

    Proc. SPIE ; 12970


    Erscheinungsdatum :

    21.12.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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