• Electronics Optics & Control
  • Vol. 30, Issue 12, 66 (2023)
ZHANG Shang1、2、3, CHEN Yifang1、2、3, WANG Shentao4, WANG Hengtao3、5, and RAN Xiukang1、2、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
  • show less
    DOI: 10.3969/j.issn.1671-637x.2023.12.011 Cite this Article
    ZHANG Shang, CHEN Yifang, WANG Shentao, WANG Hengtao, RAN Xiukang. An Improved Ship Target Detection Algorithm Based on YOLOv5[J]. Electronics Optics & Control, 2023, 30(12): 66 Copy Citation Text show less
    References

    [1] ZHANG T W, ZHANG X L.High-speed ship detection in SAR images based on a grid convolutional neural network[J].Remote Sensing, 2019, 11(10):1206.

    [2] WACKERMAN C C, FRIEDMAN K S, PICHEL W G, et al.Automatic detection of ships in RADARSAT-1 SAR imagery[J].Canadian Journal of Remote Sensing, 2001, 27(5):568-577.

    [3] VACHON P W, THOMAS S J, CRANTON J, et al.Validation of ship detection by the RADARSAT synthetic aperture radar and the ocean monitoring workstation[J].Canadian Journal of Remote Sensing, 2000, 26(3):200-212.

    [5] LIM H, CHAE D, YOO J H, et al.Template matching-based target recognition algorithm development and verification using SAR images[J].Journal of the Korea Institute of Military Science and Technology, 2014, 17(3):364-377.

    [6] HE K M, GKIOXARI G, DOLLáR P, et al.Mask R-CNN[C]//Proceedings of the IEEE International Conference on Computer Vision(ICCV).Venice:IEEE, 2017:2980-2988.

    [7] GAO X B, XU J H, LUO C, et al.Detection of lower body for AGV based on SSD algorithm with ResNet[J].Sensors, 2022, 22(5):2008.

    [8] EGI Y, HAJYZADEH M, EYCEYURT E.Drone-computer communication based tomato generative organ counting model using YOLOv5 and deep-sort[J].Agriculture, 2022, 12(9):1290.

    [9] LI S H, ZHANG S J, XUE J X, et al.Lightweight target detection for the field flat jujube based on improved YOLOv5[J].Computers and Electronics in Agriculture, 2022, 202:107391.

    [10] HOWARD A, SANDLER M, CHEN B, et al.Searching for Mobilenetv3[C]//IEEE/CVF International Conference on Computer Vision (ICCV).Seoul:IEEE, 2019:1314-1324.

    [11] SUHARTO E, SUHARTONO, WIDODO A P, et al.The use of Mobilenetv1 for identifying various types of freshwater fish[C]//Journal of Physics:Conference Series.Central Java: IOP Publishing, 2020, 1524:12105.

    [14] CANAYAZ M.C+EffxNet:a novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet[J].Chaos, Solitons & Fractals, 2021, 151:111310.

    [16] LIU Y, WANG J J.FEU-Net:glomeruli region segmentation network based on pseudo-labelling and channel attention mechanisms[C]//International Conference on Image Processing and Intelligent Control (IPIC 2021).Lanzhou:SPIE, 2021:41-51.

    [17] ZHANG Y F, REN W Q, ZHANG Z, et al.Focal and efficient IoU loss for accurate bounding box regression[DB/OL].(2022-07-16) [2022-12-01].https://arxiv.org/abs/2101.08158.

    [19] ZHANG T W, ZHANG X L, LI J W, et al.SAR ship detection dataset (SSDD):official release and comprehensive data analysis[J].Remote Sensing, 2021, 13(18):3690.

    [20] HAN K, WANG Y H, TIAN Q, et al.GhostNet:more features from cheap operations[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).Seattle:IEEE, 2020:1577-1586.

    ZHANG Shang, CHEN Yifang, WANG Shentao, WANG Hengtao, RAN Xiukang. An Improved Ship Target Detection Algorithm Based on YOLOv5[J]. Electronics Optics & Control, 2023, 30(12): 66
    Download Citation