Unmanned aerial vehicles (UAVs) are promising remote sensors capable of reforming
remote sensing applications. However, for artificial-intelligence-guided tasks, such as land …

This research addresses the critical task of road network extraction from satellite images
within the context of satellite IoT environments in urban planning and disaster management …

This paper introduces a novel approach method for decentralized land cover and land use
classification, utilizing federated learning in conjunction with Convolutional Neural Networks …

近年来, 低空无人机航拍图像和高空无人机遥感影像在土地资源管理, 环境监测, 地形测绘,
城市规划等方面都发挥着重要的作用, 如何准确地分割出低空无人机航拍图像和高空无人机遥感 …

Satellite image analysis for road network information extraction is crucial, particularly in
remote sensing. This initiative is significant for urban planning, real-time road map updates …

Augmented reality (AR) has been used in maintenance, simulation, and remote assistance,
among other applications. In AR systems, one of the significant issues is the placement of …