ST-YOLOA: a Swin-transformer-based YOLO model with an attention mechanism for SAR ship detection under complex background

A synthetic aperture radar (SAR) image is crucial for ship detection in computer vision. Due to the background clutter, pose variations, and scale changes, it is a challenge to construct a SAR ship detection model with low false-alarm rates and high accuracy. Therefore, this paper proposes a novel S...

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Detalles Bibliográficos
Autores principales: Zhao, Kai, Lu, Ruitao, Wang, Siyu, Yang, Xiaogang, Li, Qingge, Fan, Jiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272714/
https://www.ncbi.nlm.nih.gov/pubmed/37334169
http://dx.doi.org/10.3389/fnbot.2023.1170163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272714/
https://www.ncbi.nlm.nih.gov/pubmed/37334169
http://dx.doi.org/10.3389/fnbot.2023.1170163

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