Automatic ship detection in SAR images plays an essential role in both military and civilian
fields. However, most of the existing deep learning detection methods introduce complex …

The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result
of the comprehensive practicality of SAR. The flight path of the SAR platform in real …

Airborne synthetic aperture radar (SAR) with an imaging resolution of up to 0.03 m is
developed. However, the imaging process suffers from motion errors with 2-D spatial-variant …

Vehicle recognition is a fundamentale problem in synthetic aperture radar (SAR) image
interpretation. However, robustly recognizing vehicle targets is a challenging task in SAR …

Owing to the global coverage and high visibility of global navigation satellite systems
(GNSS), passive radar using GNSS satellites as transmitters of opportunity has shown great …

Filaggrin (FLG) protein is indispensable for multiple aspects of the epidermal barrier function
but its accumulation in a monomeric filaggrin form may initiate premature keratinocytes …

With the development of deep learning (DL), research on ship classification in synthetic
aperture radar (SAR) images has made remarkable progress. However, such research has …

With the increasing of application requirements, the high-resolution real-time imaging
processing of the spaceborne spotlight synthetic aperture radar (SAR) has been developed …

Today, remote sensing systems/technologies are one of the most essential requirements for
civil and military sectors for various applications. This review article discusses the …

Recently, the emergence of a large number of Synthetic Aperture Radar (SAR) sensors and
target datasets has made it possible to unify downstream tasks with self-supervised learning …