With construction of the Maritime Silk Road, maritime trade activities between China and the rest of the world are becoming much more frequent. The number of ships operating in the sea areas around China increases significantly, bringing grand challenges to unmanned monitoring of maritime areas. Based on the short-wave- infrared (SWIR) imaging, a ship-carried SWIR imager with intelligent recognition of maritime vessels is designed and implemented in this paper. The SWIR imager has the function of self-stabilizing, real-time intelligent recognition and a controllable return of images for target suspicious. We have made full use of the advantages of SWIR such as great abilities for the identification of ship camouflage, and better fog penetration capabilities than visible light. The SWIR imager also has detailed information and good sensitivity to semi-submersible objects in comparison with long wave infrared imaging. The field experimental results showed that the imager can effectively overcome the influence of the fog and the waves shaking. It can operate stably without supervision for a long time, having good in-site recognition effect with high recognition rate.


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    Titel :

    Ship-carried short-wave-infrared imager with intelligent identification of marine vessels


    Beteiligte:
    Xiangyue, Wang (Autor:in) / Huawei, Li (Autor:in) / Bin, Li (Autor:in) / Nengwei, Zhang (Autor:in) / Qianwen, Cheng (Autor:in) / Cheng, Fei (Autor:in) / Junliang, Liu (Autor:in) / Shuzhen, Fan (Autor:in) / Yongfu, Li (Autor:in) / Zhaohui, Peng (Autor:in)

    Kongress:

    Seventh Asia Pacific Conference on Optics Manufacture (APCOM 2021) ; 2021 ; Hong Kong,Hong Kong


    Erschienen in:

    Proc. SPIE ; 12166


    Erscheinungsdatum :

    15.02.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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