With the development of synthetic aperture radar (SAR) technology, more SAR datasets with
high resolution and large scale have been obtained. Research using SAR images to detect …

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 …

Deep learning has attracted increasing attention across a number of disciplines in recent
years. In the field of remote sensing, ship detection based on deep learning for synthetic …

Automatic ship detection from synthetic aperture radar (SAR) imagery plays a significant role
in many urban applications. Recently, owing to the impressive performance of deep …

The complex background and small size of targets pose challenges for ship detection in
SAR (Synthetic Aperture Radar) images. Currently, deep learning-based methods have …

Synthetic aperture radar (SAR) is widely used for ship target detection with the application of
deep learning techniques. However, in certain complex environments, such as near shore or …

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 …

Synthetic aperture radar (SAR) is an advanced microwave sensor widely used in ocean
monitoring, whose operation is not affected by light and weather. Ship targets in SAR …

Synthetic Aperture Radar (SAR) ship detection is applicable to various scenarios, such as
maritime monitoring and navigational aids. However, the detection process is often prone to …

The airborne and satellite-based synthetic aperture radar enables the acquisition of high-
resolution SAR oceanographic images in which even the outlines of ships can be identified …