Better prediction and monitoring of flood events are key factors contributing to the reduction
of their impact on local communities and infrastructure assets. Flood management involves …

UAV multitarget detection plays a pivotal role in civil and military fields. Although deep
learning methods provide a more effective solution to this task, changes in target size, shape …

Due to the advantages of small size, lightweight, and simple operation, the unmanned aerial
vehicle (UAV) has been widely used, and it is also becoming increasingly convenient to …

Many people go missing in the wild every year. In this paper, the Search and Rescue (SAR)
mission is conducted using a novel system comprising an Unmanned Aerial Vehicle (UAV) …

Public littering and discarded trash are, despite the effort being put to limit it, still a serious
ecological, aesthetic, and social problem. The problematic waste is usually localised and …

Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …

With the continuous development of human society, people's over-exploitation of nature
leads to frequent environmental problems. A large number of floating objects appear on …

Target detection based on unmanned aerial vehicle (UAV) images has increasingly become
a hot topic with the rapid development of UAVs and related technologies. UAV aerial images …

In recent years, the rise of low-cost mini rotary-wing drone technology across diverse sectors
has emphasized the crucial role of object detection within drone aerial imagery. Low-cost …

目标检测是提高无人机(UAV) 感知能力的关键技术之一, 其研究对于无人机的应用有着重要意义
. 与基于手工特征的传统方法相比, 基于卷积神经网络的深度学习方法具有强大的特征学习和 …