There is an increasing demand for technology and solutions to counter commercial, off-the-
shelf small unmanned aerial systems (sUAS). Advances in machine learning and deep …

The development of Uninhabited Aerial System (UAS) technology has grown immensely in
the last decade with its uptake producing many novel applications. However, the speed of …

In recent years, small unmanned aircraft systems (sUAS) have been used widely to monitor
animals because of their customizability, ease of operating, ability to access difficult to …

In the context of small unmanned aerial vehicles (UAVs), infrared imaging faces challenges
such as low quality, difficulty in detecting small targets, high false alarm rates, and …

Real-time detection of small unmanned aerial vehicle (SUAV) targets in SUAV surveillance
systems has become a challenge due to their high mobility, sudden bursts, and small sizes …

Aiming at the problem of low accuracy of small target detection in Unmanned Aerial Vehicle
(UAV) aerial remote sensing images and limited computing resources of UAV platform, this …

To address the issues of low model accuracy caused by complex ground environments and
uneven target scales and high computational complexity in unmanned aerial vehicle (UAV) …

Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields,
but they also pose great threats to restricted areas, such as densely populated areas and …

The last decades the Unmanned Aerial Systems (UASs) are being used in a variety of
applications, such as civil protection, security, agriculture, armed forces, that need real time …

Owing to the significant application potential of unmanned aerial vehicles (UAVs) and
infrared imaging technologies, researchers from different fields have conducted numerous …