Ship detection and classification pose critical challenges in maritime surveillance and
monitoring. On the one hand, they find applications in civilian domains, like fishery …

Influenced by the imaging mechanism, the occurrence of interference clutter in synthetic
aperture radar (SAR) renders the identification of false alarms using detectors challenging …

Ship detection using polarimetric synthetic aperture radar (PolSAR) images has recently
been an active topic in the Earth observation field, in which how to detect small ships is an …

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 …

In high-traffic harbor waters, marine radar frequently encounters signal interference
stemming from various obstructive elements, thereby presenting formidable obstacles in the …

In the last decades, how to detect ships with polarimetric synthetic aperture radar (PolSAR)
has become one hot topic. Unfortunately, most of the existing ship detection methods cannot …

The performance of the polarimetric notch filter (PNF) algorithm based on the orthogonal
projection technique has been widely recognized in the field of polarimetric synthetic …

While the detection of offshore ships in synthetic aperture radar (SAR) images has been
widely studied, inshore ship detection remains a challenging task. Due to the influence of …

Polarimetric synthetic aperture radar (PolSAR) plays an important role in remote sensing. As
a valuable application, PolSAR ship detection receives great attention and obtains fruitful …

With the impetus of supervised deep learning-based classifiers requiring extensive human-
annotated training sets, polarimetric synthetic aperture (PolSAR) image classification has …