Synthetic aperture radar (SAR) ship detection has been playing an increasingly essential
role in marine monitoring in recent years. The lack of detailed information about ships in …

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 …

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 …

Synthetic aperture radar (SAR) ship detection based on deep learning has been widely
applied in recent years. However, two main obstacles are hindering SAR ship detection …

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

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 …

Deep learning algorithms have been widely utilized for synthetic aperture radar (SAR) target
detection. Nevertheless, the traditional feature extraction methods and deep learning …

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 …

Convolutional neural networks (CNNs) have found applications in ship detection from
synthetic aperture radar (SAR) images. However, there are some challenges hamper their …

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