Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

This review explores radar‐based techniques currently utilised in the literature to monitor
small unmanned aerial vehicle (UAV) or drones; several challenges have arisen due to their …

Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …

With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …

With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

Accurate segmentation of retinal vessel from fundus image is a prerequisite for the computer-
aided diagnosis of ophthalmology diseases. In this paper, we propose a novel and robust …

This letter studies the problem of air-to-air visual detection of micro unmanned aerial
vehicles (UAVs) by monocular cameras. This problem is important for many applications …

In this letter, we propose an empirical-mode decomposition (EMD)-based method for
automatic multicategory mini-unmanned aerial vehicle (UAV) classification. The radar echo …

Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …

Drone classification has become of great importance due to its increasing popularity and
potential threats. The micro-Doppler signatures depending on the rotation of rotor blades …