Thanks to the excellent feature representation capabilities of neural networks, target
detection methods based on deep learning are now widely applied in synthetic aperture …

ABSTRACT Synthetic Aperture Radar (SAR) Ship Detection (SSD) is an important
application, and it has been widely used in commercial and military fields. With the …

In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology,
there has been a growing adoption of ship detection models that are based on deep …

It is very difficult to detect multi-scale synthetic aperture radar (SAR) ships, especially under
complex backgrounds. Traditional constant false alarm rate methods are cumbersome in …

Deep learning algorithms have been widely used in ship detection with synthetic aperture
radar (SAR). However, the complex background, clutter noise, and large span of ship sizes …

Ship detection in Synthetic Aperture Radar (SAR) images is a fundamental but challenging
task. Nowadays, given that the huge imbalance between sparse-distribution ships and …

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 …

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 …

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 …

Since only the spatial feature information of ship target is utilized, the current deep learning-
based synthetic aperture radar (SAR) ship detection approaches cannot achieve a …