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    • Lightweight model for SAR ship detection incorporating deformable convolution and attention mechanism

    • In the field of synthetic aperture radar image ship detection, researchers have proposed an improved algorithm based on YOLOv8, which effectively improves detection accuracy and speed.
    • Vol. 30, Issue 3, Pages: 724-736(2025)   

      Received:12 April 2024

      Revised:19 August 2024

      Published:16 March 2025

    • DOI: 10.11834/jig.240210     

    移动端阅览

  • Yu Guanghao, Chen Runlin, Xu Jinyan, Xu Qianxiang, Wang Dahan, Chen Feng. 2025. Lightweight model for SAR ship detection incorporating deformable convolution and attention mechanism. Journal of Image and Graphics, 30(03):0724-0736 DOI: 10.11834/jig.240210.
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相关作者

Jin Xuepeng 中国海洋大学计算机科学与技术学院
Gao Feng 中国海洋大学计算机科学与技术学院
Shi Xiaochen 中国海洋大学计算机科学与技术学院
Dong Junyu 中国海洋大学计算机科学与技术学院
Xia Bo 重庆大学光电技术与系统教育部重点实验室
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Zhou Xinyao 重庆大学光电技术与系统教育部重点实验室
Huang Hong 重庆大学光电技术与系统教育部重点实验室

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School of Computer Science and Technology, Ocean University of China
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