Semisupervised SAR Ship Detection Network via Scene Characteristic Learning

In recent years, target detection methods based on deep learning have achieved extensive development in synthetic aperture radar (SAR) ship detection. However, training such detectors requires target-level annotations of SAR images that are hard to be obtained in practice. To reduce the dependence o...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023, Vol.61, p.1-17
Hauptverfasser:	Du, Yuang, Du, Lan, Guo, Yuchen, Shi, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregation Annotations Clutter Deep learning Detection Detectors False alarms Feature extraction Hierarchical test process from scene to target Image enhancement Machine learning Marine vehicles Object detection Object recognition Radar detection Radar polarimetry SAR (radar) scene characteristic learning semisupervised learning ship detection Ships Synthetic aperture radar synthetic aperture radar (SAR) Target detection Training
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