Unmanned aerial vehicles (UAVs) offer new opportunities for wildlife monitoring, with
several advantages over traditional field-based methods. They have readily been used to …

Nowadays, unmanned aerial vehicles (UAVs) are viewed as effective acquisition platforms
for several civilian applications. They can acquire images with an extremely high level of …

Vehicle detection is a significant and challenging task in aerial remote sensing applications.
Most existing methods detect vehicles with regular rectangle boxes and fail to offer the …

In this letter, we face the problem of multilabeling unmanned aerial vehicle (UAV) imagery,
typically characterized by a high level of information content, by proposing a novel method …

We describe a novel multilabel classification approach based on a support vector machine
(SVM) for the extremely high-resolution remote sensing images. Its underlying ideas consist …

Compared to image-image retrieval, text-image retrieval has been less investigated in the
remote sensing community, possibly because of the complexity of appropriately tying textual …

In this paper, we introduce the CapERA dataset, which upgrades the Event Recognition in
Aerial Videos (ERA) dataset to aerial video captioning. The newly proposed dataset aims to …

This study investigates the combination of image processing and supervised classification to
identify invasive yellow flag iris (YFI; Iris pseudacorus) plants in images collected by an un …

An Unmanned Aerial Vehicle (UAV) system and its aerial image analysis method are
developed to evaluate the damage degree of earthquake area. Both the single‐rotor and the …

In this paper, we present an approach for the multi-label classification of remote sensing
images based on data-efficient transformers. During the training phase, we generated a …