Scattering-Keypoint-Guided Network for Oriented Ship Detection in High-Resolution and Large-Scale SAR Images

Ship detection in synthetic aperture radar (SAR) images is a significant and challenging task. Recently, deep convolutional neural networks have been applied to solve the detection problem and made a great breakthrough. Previous works mostly rely on the manually designed anchor boxes to search for t...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.11162-11178
Hauptverfasser:	Fu, Kun, Fu, Jiamei, Wang, Zhirui, Sun, Xian
Format:	Artikel
Sprache:	eng
Schlagworte:	Anchors Artificial neural networks Boxes Computer applications Context Context-aware feature selection (CFS) convolutional neural network (CNN) Datasets Detection Detectors Feature extraction Image resolution Imaging Imaging techniques Information processing Interference Marine vehicles Neural networks oriented ship detection Radar detection Radar imaging Radar polarimetry SAR (radar) Scattering scattering keypoints Ships Synthetic aperture radar synthetic aperture radar (SAR) Variability
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