Synthetic aperture radar (SAR) ship detection based on deep learning has been widely
applied in recent years. However, two main obstacles are hindering SAR ship detection …

Synthetic aperture radar (SAR) images have been widely used for ship monitoring. The
traditional methods of SAR ship detection are difficult to detect small scale ships and avoid …

Synthetic aperture radar (SAR) ship detection has been playing an increasingly essential
role in marine monitoring in recent years. The lack of detailed information about ships in …

Ship detection plays an important role in synthetic aperture radar (SAR) image
interpretation. However, there are still some difficulties in SAR ship detection. First, ships …

Recently, deep-learning methods have been successfully applied to the ship detection in the
synthetic aperture radar (SAR) images. It is still a great challenge to detect multiscale SAR …

One of the current research areas in the synthetic aperture radar (SAR) processing fields is
deep learning-based ship detection in SAR imagery. Recently, ship detection in SAR …

Deep learning-based methods have achieved great success in target detection tasks of
computer vision, but when it comes to Synthetic Aperture Radar (SAR) image ship detection …

Deep learning algorithms have been widely utilized for synthetic aperture radar (SAR) target
detection. Nevertheless, the traditional feature extraction methods and deep learning …

Automatic ship detection in SAR images plays an essential role in both military and civilian
fields. However, most of the existing deep learning detection methods introduce complex …

Recently, convolutional neural network based methods have been studied for ship detection
in optical remote sensing images. However, it is challenging to apply them to microwave …