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 …

Ship detection is of great significance in the interpretation of synthetic aperture radar (SAR)
images. However, SAR generates inherent speckle noise when producing images, which …

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 …

Deep learning (DL) improves the accuracy of SAR ship detection a lot in comparison with
traditional methods. However, most of the DL-based methods abandon traditional feature of …

ABSTRACT Ship detection in Synthetic Aperture Radar (SAR) images has always been a
hot topic for research. The development of Deep Neural Networks (DNNs) has strongly …

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 …

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 …

Ship detection in SAR images is a challenging problem. CNN-based ship detection method
in SAR images has achieved remarkable results. Due to the multi scale of the ships and …

Over the recent years, deep-learning technology has been widely used. However, in
research based on Synthetic Aperture Radar (SAR) ship target detection, it is difficult to …

Although ship detectors in synthetic aperture radar (SAR) images have continuously
advanced the state-of-the-art performance in recent years. It is still difficult to balance the …