The rapid growth of China's shipping industry demands improved maritime management. Efficient vessel monitoring using SAR images is vital, yet current satellite resources and diverse target scales in SAR images pose challenges. This paper applies the YOLO11 model, leveraging its optimized architecture to improve detection speed, accuracy, and robustness. Experiments on multiple SAR vessel datasets, evaluated by precision, recall, F1 score, and mAP (mean Average Precision), demonstrate YOLO11’s effectiveness in detecting small-scale, sparsely distributed vessels while maintaining low inference times. The results highlight YOLO11’s potential for enhancing maritime monitoring and vessel surveillance efficiency, providing valuable insights for intelligent waterborne transportation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    YOLOv11 for SAR ship detection: advancements, performance, and applications in sea or inland waterway transportation


    Contributors:
    Xu, Xin (editor) / Mohd Zain, Azlan bin (editor) / Ruan, Jinjia (author) / Huang, Rui (author) / Wang, Xi (author) / Wang, Yuchuan (author) / He, Jin (author) / Tong, Yao (author)

    Conference:

    International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2024) ; 2024 ; Nanchang, China


    Published in:

    Proc. SPIE ; 13560


    Publication date :

    2025-04-10





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    SOME INLAND WATERWAY TRANSPORTATION PROBLEMS

    LACY, V E | SAE Technical Papers | 1920


    PROBLEMS OF INLAND WATERWAY TRANSPORTATION

    BAER, CARL J | SAE Technical Papers | 1920


    Demand for inland waterway transportation

    Silberberg, E. | Engineering Index Backfile | 1966


    Some inland waterway transportation problems

    Lacy, V.E. | Engineering Index Backfile | 1921