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 …

Anomaly detection in pedestrian walkways is a vital research area that uses remote sensing,
which helps to optimize pedestrian traffic and enhance flow to improve pedestrian safety in …

With the emergence of deep learning in the last years, new opportunities arose in Earth
observation research. Nevertheless, they also brought with them new challenges. The data …

Observing traffic flow is of great significance to contemporary urban management. Overhead
images, as represented by remote sensing images, provide a major source of information …

The Paraguayan Chaco is one of the most rapidly deforested areas in Latin America, mainly
due to cattle ranching. Continuously forested windbreaks between agricultural areas and …

Remote sensing-based target detection process is applied to spot the targeted objects in
remote sensing images (RSIs). However, it is challenging to detect small-sized vehicles in …

Abstract Domain Adaptive Object Detection (DAOD) alleviates the reliance on labeled data
by transferring knowledge learned from labeled source domain to unlabeled target domain …

High-accuracy positioning and identification of vehicle parts are crucial for status detection,
fault diagnosis, and the development of intelligent damage detection systems. However …

In large-scale disaster events, the planning of optimal rescue routes depends on the object
detection ability at the disaster scene, with one of the main challenges being the presence of …

Personnel and boat detection in unmanned aerial vehicles (UAVs) imagery plays a crucial
role in open water search and rescue missions. The diverse perspectives and altitudes of …