The geolocalization and navigation technology of unmanned aerial vehicles (UAVs) in
denied environments is currently a prominent research area. Prior approaches mainly …

UAVs typically rely on satellite navigation for positioning, yet this method proves ineffective
in instances where the signal is inadequate or communication is disrupted. Visually based …

The stable flight of drones relies on Global Navigation Satellite Systems (GNSS). However,
in complex environments, GNSS signals are prone to interference, leading to flight …

Within research on the cross-view geolocation of UAVs, differences in image sources and
interference from similar scenes pose huge challenges. Inspired by multimodal machine …

Drones traditionally rely on satellite signals for positioning and altitude. However, when in a
special denial environment, satellite communication is interrupted, and the traditional …

In recent years, with the rapid development of UAV technology, drones have been widely
applied in various fields. Obtaining accurate location information is crucial for UAVs when …

As an emerging field, unmanned aerial vehicles (UAVs) feature from interdisciplinary
techniques in science, engineering and industrial sectors. The massive applications span …

We present RecNet, a novel end-to-end CNN approach for fast template matching in cross-
spectral images, addressing nonlinear intensity disparities and appearance differences in …