Automatic ship target detection technique is a typical and meaningful application for
synthetic aperture radar (SAR) image interpretation. Nevertheless, the detection of ship …

Deep learning algorithms have been widely used in ship detection with synthetic aperture
radar (SAR). However, the complex background, clutter noise, and large span of ship sizes …

The ship target detection technology in synthetic aperture radar (SAR) imaging plays an
important role in information warfare. However, due to the coherence of the system and the …

In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it
is urgent to develop methods with higher accuracy and faster speed for ship detection in …

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 has been the focus of many previous studies.
Traditional SAR ship detectors face challenges in complex environments due to the …

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 …

A neural network-based object detection algorithm has the advantages of high accuracy and
end-to-end processing, and it has been widely used in synthetic aperture radar (SAR) ship …

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 …

Due to the rapid development of chip technology and deep learning revolution, many ship
detection frameworks for synthetic aperture radar (SAR) imagery based on convolutional …