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YOLOSAR-Lite: a lightweight framework for real-time ship detection in SAR imagery

Real-time ship detection using SAR images is crucial for maritime operations but remains challenging due to issues such as sidelobes, complex background interferences, and target defocusing. Studies have shown that deep learning can address these problems, current deep learning algorithms often suff...

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Principais autores: Haochen Wang, Juan Shi, Hamed Karimian, Fucheng Liu, Fei Wang
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2024-12-01
Serier:International Journal of Digital Earth
Fag:
Synthetic aperture radar (SAR)
YOLOv8
lightweight model
ship recognition
knowledge distillation
Online adgang:https://www.tandfonline.com/doi/10.1080/17538947.2024.2405525
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