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Ship Target Detection in SAR Images Based on Multi-Scale Dynamic Fusion Model of YOLOv8

Weihe Huang, Yinhong Song
Vol. 2, No. 1, pp. 61-63, 2025 DOI: 10.54097/r978ba16 February 11, 2025
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Abstract.Target detection is an important part of radar image interpretation. The use of SAR technology combined with deep learning network models has become an important means of ship target detection. Compared with traditional methods, deep learning has powerful data processing and feature extraction capabilities. Therefore, this paper proposes a multi-scale dynamic fusion (DFS) detection model for target detection based on YOLOv8. The model includes three parts: multi-scale feature extraction and fusion, dynamic alignment, and attention mechanism feature enhancement. Finally, experiments were conducted on the SAR-ship dataset. The experimental results show that the detection results of the model reach 96.4%.
Keywords. SAR deep learning YOLO Multi-scale dynamic fusion Ship target detection
APA Citation Weihe Huang, Yinhong Song (2025). Ship Target Detection in SAR Images Based on Multi-Scale Dynamic Fusion Model of YOLOv8. Journal of Computer Science and Artificial Intelligence, 2(1), 61-63. https://doi.org/10.54097/r978ba16

References

  1. Gao, W.; Liu, Y.; Zeng, Y.; Liu, Q.; Li, Q. SAR Image Ship Target Detection Adversarial Attack and Defence Generalization Research. Sensors 2023, 23, 2266, doi:10.3390/s23042266.
  2. Song, C.; Deng, J.; Liu, Z.; Wang, B.; Wu, Y.; Bi, H. Complex-Valued Sparse SAR-Image-Based Target Detection and Classification. Remote Sensing 2022, 14, 4366, doi:10.3390/rs14174366.
  3. Duan, K.; Bai, S.; Xie, L.; Qi, H.; Huang, Q.; Tian, Q. CenterNet: Keypoint Triplets for Object Detection 2019.
  4. Tian, Z.; Shen, C.; Chen, H.; He, T. FCOS: Fully Convolutional One-Stage Object Detection 2019.
  5. Terven, J.; Cordova-Esparza, D. A Comprehensive Review of YOLO: From YOLOv1 and Beyond 2023.
  6. Liu, W.; Anguelov, D.; Erhan, D.; Szegedy, C.; Reed, S.; Fu, C.-Y.; Berg, A.C. SSD: Single Shot MultiBox Detector. In; 2016; Vol. 9905, pp. 21–37.
  7. Zhang, J.; Chen, Z.; Yan, G.; Wang, Y.; Hu, B. Faster and Lightweight: An Improved YOLOv5 Object Detector for Remote Sensing Images. Remote Sensing 2023, 15, 4974, doi:10.3390/rs15204974.
  8. Long, Z.; Suyuan, W.; Zhongma, C.; Jiaqi, F.; Xiaoting, Y.; Wei, D. Lira-YOLO: A Lightweight Model for Ship Detection in Radar Images. Journal of Systems Engineering and Electronics 2020, 31, 950–956, doi:10.23919/JSEE.2020.000063.
  9. Wang, Y.; Wang, C.; Zhang, H.; Dong, Y.; Wei, S. A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds. Remote Sensing 2019, 11, 765, doi:10.3390/rs11070765.