Synthetic aperture radar (SAR) is an active microwave imaging sensor with the capability of
working in all-weather, all-day to provide high-resolution SAR images. Recently, SAR …

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 …

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

Recently, convolutional neural network based methods have been studied for ship detection
in optical remote sensing images. However, it is challenging to apply them to microwave …

With the development of synthetic aperture radar (SAR) imaging and deep learning, SAR
ship detection based on convolutional neural networks (CNNs) has been extensively …

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 …

Recently, deep-learning methods have been successfully applied to the ship detection in the
synthetic aperture radar (SAR) images. It is still a great challenge to detect multiscale SAR …

Recently, methods based on deep learning have been successfully applied to ship detection
for synthetic aperture radar (SAR) images. However, most current ship detection networks …

Synthetic aperture radar (SAR) images have been widely used for ship monitoring. The
traditional methods of SAR ship detection are difficult to detect small scale ships and avoid …

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 …