Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …

In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …

Historically, geoscience has been a prominent domain for applications of computer vision
and pattern recognition. The numerous challenges associated with geoscience-related …

The field of computer vision is revolutionized with the advancement of deep learning and the
availability of high computational power. In addition, in the field of computer vision, object …

Vision-based object tracking has boosted extensive autonomous applications for unmanned
aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint …

Unmanned Aerial Vehicles (UAVs), also known as drones, have become increasingly
popular in recent years due to their ability to capture high-quality multimedia data from the …

Accurate navigation is of paramount importance to ensure flight safety and efficiency for
autonomous drones. Recent research starts to use Deep Neural Networks (DNN) to …

Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for
both defense and civilian applications. As drone technology moves towards real-time …

A novel dynamic invading target tracking method for the oilfield inspection by unmanned
aerial vehicle (UAV) is presented in this paper. In this study the quad-rotor UAV is used to …

Unmanned Aerial Vehicles (UAVs), also known as drones, have become increasingly
popular in recent years due to their ability to capture high-quality multimedia data from the …