The present article is an introductory paper in this special issue on synthetic aperture radar
(SAR). A short review is presented on the recent trend and development of SAR and related …

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 …

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 …

Abstract Ship detection from Synthetic Aperture Radar (SAR) imagery is attracting increasing
attention due to its great value in ocean. However, existing most studies are frequently …

During the last decade, synthetic aperture radar (SAR) became an indispensable source of
information in Earth observation. This has been possible mainly due to the current trend …

Current traffic research is mostly based on data from fixed-installed sensors like induction
loops, bridge sensors, and cameras. Thereby, the traffic flow on main roads can partially be …

Given that ground stationary infrastructures for traffic monitoring are barely able to handle
everyday traffic volumes, there is a risk that they could fail altogether in situations arising …

Abstract Synthetic Aperture Radar (SAR) is an active remote sensing technique capable of
providing high-resolution imagery independent from daytime and to great extent unimpaired …

Signalized intersections are managed by controllers that assign right of way (green, yellow,
and red lights) to non-conflicting directions. Optimizing the actuation policy of such …

Ship recognition in synthetic aperture radar (SAR) images is essential for many applications
in maritime surveillance tasks. Recently, convolutional neural network (CNN)-based …