CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection

Synthetic-aperture radar (SAR) image target detection is widely used in military, civilian and other fields. However, existing detection methods have low accuracy due to the limitations presented by the strong scattering of SAR image targets, unclear edge contour information, multiple scales, strong...

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Detalhes bibliográficos

Principais autores:	Runfan Xia, Jie Chen, Zhixiang Huang, Huiyao Wan, Bocai Wu, Long Sun, Baidong Yao, Haibing Xiang, Mengdao Xing
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-03-01
coleção:	Remote Sensing
Assuntos:	transformer deep learning SAR target detection multiscale learning ship detection
Acesso em linha:	https://www.mdpi.com/2072-4292/14/6/1488
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