After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …

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 …

Synthetic aperture radar (SAR) imaging has round-the-clock data acquisition capability
regardless of light and climate constraints, so it has been widely used for ship detection …

Ship detection from synthetic aperture radar (SAR) images is a hot topic, but the difficulty in
collecting labeled SAR images may hinder the development of deep-learning-based …

The existing synthetic aperture radar (SAR) ship datasets have an imbalanced number of
inshore and offshore ship targets, and the number of small, medium and large ship targets …

Target detection technology has been greatly improved for synthetic aperture radar (SAR)
images recently, due to the advancement in the deep learning domain. However, because of …

With the rapid development of deep learning technology in recent years, convolutional
neural networks have gained remarkable progress in SAR ship detection tasks. However …

Synthetic aperture radar (SAR) is a technique widely used in the field of ship detection.
However, due to the high ship density, fore-ground-background imbalance, and varying …

Detection of ships in Synthetic Aperture Radar (SAR) images play a crucial role in maritime
surveillance, most importantly under complex sea conditions. SAR permits observation in …

Synthetic Aperture Radar (SAR) is an active Earth observation system that can obtain high-
resolution ocean images all day and all weather. It can be used for monitoring the marine …