With the rapid development of the remote sensing monitoring and computer vision
technology, the deep learning method has made a great progress to achieve applications …

Object detection in drone-captured images is a popular task in recent years. As drones
always navigate at different altitudes, the object scale varies considerably, which burdens …

Object detection on unmanned aerial vehicle (UAV) images is a recent research hotspot.
Existing object detection methods have achieved good results on general scenes, but there …

ABSTRACT The Annual Meeting of the American Association of Geographers (AAG) in 2023
marked a five-year milestone since the first Geospatial Artificial Intelligence (GeoAI) …

The detection of infrared vehicle targets by UAVs poses significant challenges in the
presence of complex ground backgrounds, high target density, and a large proportion of …

In the realm of conventional deep-learning-based pan-sharpening approaches, there has
been an ongoing struggle to harmonize the input panchromatic (PAN) and multi-spectral …

Occlusion between objects is one of the overlooked challenges for object detection in UAV
images. Due to the variable altitude and angle of UAVs, occlusion in UAV images happens …

Object detection in images captured by unmanned aerial vehicles (UAVs) holds great
potential in various domains, including civilian applications, urban planning, and disaster …

Aerial vehicle detection has significant applications in aerial surveillance and traffic control.
The pictures captured by the UAV are characterized by many tiny objects and vehicles …

In this article, we introduce a new building dataset and propose a novel domain
generalization method to facilitate the development of building extraction from high …