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YOLO-PFA: Advanced Multi-Scale Feature Fusion and Dynamic Alignment for SAR Ship Detection

Maritime ship detection faces challenges due to complex object poses, variable target scales, and background interference. This paper introduces YOLO-PFA, a novel SAR ship detection model that integrates multi-scale feature fusion and dynamic alignment. By leveraging the Bidirectional Feature Pyrami...

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Autori principali: Shu Liu, Peixue Liu, Zhongxun Wang, Mingze Sun, Pengfei He
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2025-10-01
Serie:Journal of Marine Science and Engineering
Soggetti:
ship detection
multi-scale
dynamic alignment
remote sensing imagery
YOLOv11
SAR
Accesso online:https://www.mdpi.com/2077-1312/13/10/1936
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