Chinese Journal of Ship Research, Volume. 19, Issue 6, 284(2024)

Research on small target ship recognition based on feature fusion method and hybrid attention model

Ronghui YAN1, Qian GUO1, Ming LEI1, Yanxiang CAI2, and Jianfeng YANG2
Author Affiliations
  • 1School of Intelligent Manufacturing and Smart Transportation,Suzhou City University, Suzhou 215006, China
  • 2School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China
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    References(5)

    [3] [3] SAHIN O, OZER S. YOLODrone: Improved YOLO architecture f object detection in drone images[C]2021 44th International Conference on Telecommunications Signal Processing (TSP). Brno, Czech Republic: IEEE, 2021: 361365.

    [5] WU D M, WANG H, LI J. Safety helmet detection and identification based on improved faster R-CNN[J]. Information Technology & Informatization, 1, 17-20(2020).

    [10] [10] GAO P, DU L X. Improved dark channel pri image dehazing algithm[C]Proceedings of the 2nd International Conference on Mechanical Engineering, Industrial Materials Industrial Electronics (MEIMIE 2019). [S.1.]: Clausius Scientific Press, 2019: 198203.

    [16] [16] ZHAO Y X, WANG S D. Research on realtime object detection based on Yolo algithm[C]Proceedings of the 3rd International Conference on Artificial Intelligence Engineering Applications (AIEA 2022). Wuhan: Wuhan Zhicheng Times Cultural Development Co., Ltd., 2022.

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    Ronghui YAN, Qian GUO, Ming LEI, Yanxiang CAI, Jianfeng YANG. Research on small target ship recognition based on feature fusion method and hybrid attention model[J]. Chinese Journal of Ship Research, 2024, 19(6): 284

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    Paper Information

    Category: Weapon, Electronic and Information System

    Received: Aug. 2, 2023

    Accepted: --

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.03489

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