Ship detection and classification pose critical challenges in maritime surveillance and
monitoring. On the one hand, they find applications in civilian domains, like fishery …

With the wide application of remote sensing images (RSIs) in military and civil fields, remote
sensing object detection (RSOD) has gradually become a hot research direction. However …

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 …

The detection of ships encompasses an abundance of applications within the domains of
fishery management, marine rescue operations, and maritime monitoring. In recent years, a …

Remote sensing object detection (RSOD) encounters challenges in complex backgrounds
and small object detection, which are interconnected and unable to address separately. To …

Synthetic aperture radar (SAR) ship image recognition technology is essential for monitoring
and identifying marine vessels. However, the existing ship detection methods are not ideal …

The advancements in ship detection technology using convolutional neural networks
(CNNs) regarding synthetic aperture radar (SAR) images have been significant. Yet, there …

YOLOv5 is a one-stage detector that achieves appealing performance in real-time object
detection. When it comes to remote sensing object detection, there are many small objects in …

For ships in synthetic aperture radar (SAR) images, which have various aspect ratios and
incline angles, the rotated regions of interest (ROIs) are used in instance segmentation …