Ship Detection in SAR Images Based on Feature Enhancement Swin Transformer and Adjacent Feature Fusion

Ship Detection in SAR Images Based on Feature Enhancement Swin Transformer and Adjacent Feature Fusion

Convolutional neural networks (CNNs) have achieved milestones in object detection of synthetic aperture radar (SAR) images. Recently, vision transformers and their variants have shown great promise in detection tasks. However, ship detection in SAR images remains a substantial challenge because of t...

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Bibliographic Details
Main Authors: Kuoyang Li, Min Zhang, Maiping Xu, Rui Tang, Liang Wang, Hai Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
synthetic aperture radar (SAR)
ship detection
feature enhancement Swin transformer
adjacent feature fusion
Cascade R-CNN
Online Access:https://www.mdpi.com/2072-4292/14/13/3186

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