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 …

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 …

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 …

Considering the difficulty of ship detection in Synthetic Aperture Radar (SAR) images lacking
color and texture details, we propose a method for SAR ship detection based on hierarchical …

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 …

Deep learning-based detection methods have achieved great success in ship target
detection in synthetic aperture radar (SAR) images. However, due to the interference of …

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 …

Deep learning-based ship detection from SAR data is one of the challenging problems in the
remote sensing area. Also, SAR ship detection is precise object detection and pattern …

Synthetic aperture radar (SAR) can detect objects in various climate and weather conditions.
Therefore, SAR images are widely used for maritime object detection in applications such as …

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 …