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 …

SAR ship detection and recognition are important components of the application of SAR
data interpretation, allowing for the continuous, reliable, and efficient monitoring of maritime …

Intelligent recognition of maritime ship targets from synthetic aperture radar (SAR) imagery is
a hot research issue. However, interferences such as the strong sea clutter, sidelobe, small …

Detecting and tracking ships remotely is now required in a wide range of contexts, from
military security to illegal immigration control, as well as the management of fisheries and …

Effective ship detection in synthetic aperture radar (SAR) imagery is crucial for maritime
safety and surveillance. Despite the advancements in deep learning for SAR ship detection …

Synthetic aperture radar (SAR) is an important tool for achieving accurate and efficient
monitoring of maritime traffic by identifying ships and wakes. Ship wake can not only assist …

With the increasing interest in space science exploration, the number of spacecraft in Earth's
orbit has been steadily increasing. To ensure the safety and operational integrity of active …

Convolutional neural networks (CNNs) have significantly advanced in recent years in
detecting arbitrary-oriented ships in synthetic aperture radar (SAR) images. However …

Ship detection is an important topic in the task of understanding remote sensing images.
One of the challenges for ship detection is the large length–width ratio of ships, which may …

Vessel monitoring technology involves the application of remote sensing technologies to
detect and identify vessels in various environments, which is critical for monitoring vessel …