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 …

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 …

Synthetic aperture radar (SAR) ship detection based on deep learning has been widely
applied in recent years. However, two main obstacles are hindering SAR ship detection …

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 …

Recently, deep learning-based methods for synthetic aperture radar (SAR) ship detection
have made remarkable advancements. However, most existing methods primarily focus on …

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

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 …

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 …

With the development of deep learning (DL) and synthetic aperture radar (SAR) imaging
techniques, SAR automatic target recognition has come to a breakthrough. Numerous …