The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Cross-view geo-localization is a task of matching the same geographic image from different
views, eg, unmanned aerial vehicle (UAV) and satellite. The most difficult challenges are the …

Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …

Satellite image analysis is widely used in many real-time applications, from agriculture to the
military. Due to the wide range of Generative Adversarial Network (GAN) applications in …

In the domain of cross-view geo-localization, the challenge lies in accurately matching
images captured from distinct perspectives, such as aerial drone imagery and satellite …

In the intelligent transportation system (ITS), the vehicular fog computing network (VFCN)
can effectively alleviate the bottleneck existing in the cloud computing framework, such as …

Visual geo-localization plays a crucial role in positioning and navigation for unmanned
aerial vehicles, whose goal is to match the same geographic target from different views. This …

In this article, we devote to solve the consensus problem for nonlinear multiagent system
under energy consumption constraint. A novel control protocol which combines impulse …

Vein biometrics is a high-security and privacy-preserving identification technology that has
received increasing attentions. Although deep neural networks (DNNs), such as …

The key to crossview geolocalization is to match images of the same target from different
viewpoints, eg, images from drones and satellites. It is a challenging problem due to the …