The rapid development of inland shipping and marine shipping has promoted the economic growth, but it also makes the frequency of ship collision, ship Landing and other accidents more and more high, illegal fishing, illegal ship parking and other phenomena often occur. Therefore, the realization of automatic detection of ship targets is of great significance to the management of surface ships. Combined with the advantages of deep learning in big data feature learning, this paper proposes a fast ship target detection method based on deep learning.


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    Title :

    Research on the Development of Ship Target Detection Based on Deep Learning Technology


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:

    Conference:

    International Conference on Frontier Computing ; 2021 ; Seoul, Korea (Republic of) July 13, 2021 - July 17, 2021


    Published in:

    Frontier Computing ; Chapter : 255 ; 1730-1736


    Publication date :

    2022-05-23


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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