Synthetic aperture radar (SAR) ship detection is widely used in cutting-edge applications
such as environmental protection, traffic monitoring, search, and rescue. Lightweight …

It is very difficult to detect multi-scale synthetic aperture radar (SAR) ships, especially under
complex backgrounds. Traditional constant false alarm rate methods are cumbersome in …

Synthetic aperture radar (SAR) target detection plays a crucial role in both military and
civilian fields, attracting significant attention from researchers globally. CenterNet, a single …

Intelligent ship detection based on high-precision synthetic aperture radar (SAR) images
plays a vital role in ocean monitoring and maritime management. Denoising is an effective …

Convolution neural network (CNN)-based detectors have shown great performance on ship
detections of synthetic aperture radar (SAR) images. However, the performance of current …

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

Synthetic aperture radar (SAR) ship detection is sensitive to the interference of inshore
background, disturbance of strong wind and waves. The similar textures of the neighbor …

The problem of multiscale ship detection in synthetic aperture radar (SAR) images has
received much attention with the development of deep convolutional neural networks …

SAR ship detection plays an important role in marine traffic monitoring. Traditional SAR
target detection methods are mostly based on intensity differences between target and …

Synthetic aperture radar (SAR) has emerged as a vital tool for ship monitoring due to its all-
weather, all-day, high-resolution imaging capabilities. In practical operations, the wide …