Due to the rapid development of chip technology and deep learning revolution, many ship
detection frameworks for synthetic aperture radar (SAR) imagery based on convolutional …

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 …

Synthetic aperture radar (SAR) ship detection is an important part of marine monitoring. With
the development in computer vision, deep learning has been used for 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 …

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 …

In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it
is urgent to develop methods with higher accuracy and faster speed for ship detection in …

Ship detection on synthetic aperture radar (SAR) imagery has many valuable applications
for both civil and military fields and has received extraordinary attention in recent years. The …

Deep learning methods have made significant progress in ship detection in synthetic
aperture radar (SAR) images. The pretraining technique is usually adopted to support deep …

Recently, deep learning-based methods have brought new ideas for ship detection in
synthetic aperture radar (SAR) images. However, several challenges still exist: 1) deep …

Ship detection in high-resolution synthetic aperture radar (SAR) imagery is a challenging
problem in the case of complex environments, especially inshore and offshore scenes …