Ship detection in synthetic aperture radar (SAR) images is becoming a research hotspot. In
recent years, as the rise of artificial intelligence, deep learning has almost dominated SAR …

With the rapid development of earth observation technology, high-resolution synthetic
aperture radar (HR SAR) imaging satellites could provide more observational information for …

Synthetic aperture radar (SAR) imaging is used to identify ships, which is a vital task in the
maritime industry for managing maritime fisheries, marine transit, and rescue operations …

Advances in space-based ocean surveillance systems have improved the detection of
objects from high-quality remote-sensing big data. Previous studies mainly focused on …

Intelligent recognition of maritime ship targets from synthetic aperture radar (SAR) imagery is
a hot research issue. However, interferences such as the strong sea clutter, sidelobe, small …

Detecting and tracking ships remotely is now required in a wide range of contexts, from
military security to illegal immigration control, as well as the management of fisheries and …

Ship detection in large-scale synthetic aperture radar (SAR) images has achieved
breakthroughs as a result of the improvement of SAR imaging technology. However, there …

In recent years, deep convolutional neural networks (DCNNs) have been widely used in the
task of ship target detection in synthetic aperture radar (SAR) imagery. However, the vast …

In this letter, we propose a new constant false alarm rate (CFAR) detector to accelerate the
existing superpixel (SP)-based CFAR detectors for ship detection in synthetic aperture radar …

With the soaring development of deep learning (DL) mechanisms in recent years,
convolution neural network (CNN)-based methods have been extensively investigated to …