A Local-Sparse-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection

A Local-Sparse-Information-Aggregation Transformer with Explicit Contour Guidance for SAR Ship Detection

Ship detection in synthetic aperture radar (SAR) images has witnessed rapid development in recent years, especially after the adoption of convolutional neural network (CNN)-based methods. Recently, a transformer using self-attention and a feed forward neural network with a encoder-decoder structure...

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Bibliographic Details
Main Authors: Hao Shi, Bingqian Chai, Yupei Wang, Liang Chen
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
SAR ship detection
deep learning
Swin Transformer
deformable attention
contour enhancement
Online Access:https://www.mdpi.com/2072-4292/14/20/5247

Internet

https://www.mdpi.com/2072-4292/14/20/5247

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