In order to solve the problem of small data set, this paper uses the invariance of distinguishing features between the simulated infrared image of maritime ship and real infrared image of maritime ship, studies a method of detecting infrared maritime ship target with no real data. At the same time, we propose an attribute adaptive learning strategy based on deep learning algorithm of yolov3. In the case of low data support, the detection capabilities of infrared maritime ship target have been improved.


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    Title :

    A deep learning-based attribute adaptive infrared maritime ship target detection method


    Contributors:
    Wu, Yi (author) / Xu, Chuangang (author) / Li, Ting (author) / Yao, Keming (author) / Han, Bing (author)

    Conference:

    AOPC 2020: Infrared Device and Infrared Technology ; 2020 ; Beijing,China


    Published in:

    Proc. SPIE ; 11563


    Publication date :

    2020-11-05





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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