SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research
state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery …

After the revival of deep learning in computer vision in 2012, SAR ship detection comes into
the deep learning era too. The deep learning-based computer vision algorithms can work in …

With the development of satellite technology, up to date imaging mode of synthetic aperture
radar (SAR) satellite can provide higher resolution SAR imageries, which benefits ship …

Synthetic aperture radar (SAR) satellites can provide microwave remote sensing images
without weather and light constraints, so they are widely applied in the maritime monitoring …

Ship detection from synthetic aperture radar (SAR) imagery is a fundamental and significant
marine mission. It plays an important role in marine traffic control, marine fishery …

Ship classification in synthetic aperture radar (SAR) images is a fundamental and significant
step in ocean surveillance. Recently, with the rise of deep learning (DL), modern abstract …

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 …

Synthetic aperture radar (SAR) is playing an important role in maritime domain awareness.
As a fundamental ocean mission, SAR ship detection can offer high-quality services for …

Synthetic-aperture radar (SAR) image target detection is widely used in military, civilian and
other fields. However, existing detection methods have low accuracy due to the limitations …

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