With the application of target detection technology in UAVs and other aircraft, the demand for the analysis of aerial images is increasing year by year. Focusing on the single-stage target detection algorithm in deep learning, the current mainstream deep learning single-stage target detection algorithm is first introduced; the basic principle and optimization process of the single-stage series target detection algorithm are sorted out, and a systematic summary of the research progress of aerial image detection by Single-Stage series algorithm is analyzed. Finally, the future direction of the Single-stage series algorithm in aerial image detection prospects.


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    Title :

    A survey of aerial image target detection based on single-stage series algorithms


    Contributors:
    Wang, Hai (author) / Tian, Yimin (author) / Du, Yunfei (author) / Chen, Hongmei (author)

    Conference:

    Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022) ; 2022 ; Xi'an,China


    Published in:

    Proc. SPIE ; 12462


    Publication date :

    2023-02-02





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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