Chinese Journal of Ship Research, Volume. 17, Issue 1, 227(2022)

Wide-area ship target recognition method based on motion and appearance features

Ronghui YAN1, Haicheng XIE2, Minheng HUA2, and Jianfeng YANG2
Author Affiliations
  • 1Wenzheng College, Soochow University, Suzhou 215104, China
  • 2School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China
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    References(5)

    [7] XU C, YIN C J, WANG D Z et al. Fast ship detection combining visual saliency and a cascade CNN in SAR images[J]. IET Radar, Sonar & Navigation, 14, 1879-1887(2020).

    [8] CORDOVA A W A, QUISPE W C, INCA R J C et al. New approaches and tools for ship detection in optical satellite imagery[J]. Journal of Physics, Conference Series, 1642, 012003(2020).

    [15] [15] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: Unified, realtime object detection[C]2016 IEEE Conference on Computer Vision Pattern Recognition. Las Vegas, NV, USA: IEEE, 2016: 779788.

    [16] [16] LU S Y, LIU J H, WANG B Z, et al. A novel object detection algithm in video[C]Proceedings of 2019 the 9th International Wkshop on Computer Science Engineering (WCSE 2019). Hong Kong, China:Science Engineering Institute (SCIEI), 2019:8.

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    Ronghui YAN, Haicheng XIE, Minheng HUA, Jianfeng YANG. Wide-area ship target recognition method based on motion and appearance features[J]. Chinese Journal of Ship Research, 2022, 17(1): 227

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    Paper Information

    Category: Weapon, Electronic and Information System

    Received: Mar. 18, 2021

    Accepted: --

    Published Online: Mar. 24, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02320

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