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    • Foggy ship re-identification network based on multiple feature cascade enhancement and cross-layer adaptive fusion

    • In the field of ship re identification in foggy weather, experts have proposed a multi-dimensional feature cascade enhancement and cross layer adaptive fusion network model, which effectively improves the accuracy of ship matching and provides a new solution to solve the problem of ship identification in foggy weather.
    • Vol. 30, Issue 8, Pages: 2808-2821(2025)   

      Received:07 November 2024

      Revised:2024-12-28

      Published:16 August 2025

    • DOI: 10.11834/jig.240646     

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  • Sun Wei, Guan Fei, Zhang Xiaorui, Shen Xinyi. 2025. Foggy ship re-identification network based on multiple feature cascade enhancement and cross-layer adaptive fusion. Journal of Image and Graphics, 30(8):2808-2821 DOI: 10.11834/jig.240646.
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相关作者

Sun Wei 南京信息工程大学自动化学院;南京信息工程大学江苏省大气环境与装备技术协同创新中心
Guan Fei 南京信息工程大学自动化学院
Zhang Xiaorui 南京工业大学计算机与信息工程学院
Shen Xinyi 南京信息工程大学自动化学院
Zhao Shenlu 西安电子科技大学机电工程学院
Zhang Qiang 西安电子科技大学机电工程学院
Song Xiaogang 西安理工大学计算机科学与工程学院;人机共融智能机器人陕西省高校工程研究中心
Tan Yuping 西安理工大学计算机科学与工程学院

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