114 citations · 158 across the 4 of their papers we have counts for
4 papers
Towards Graph-Based Deep Learning for Map Generalization: Insights from Building Footprints Simplification and Aggregation
Yanning Wang, Zhiyong Zhou, Zhouyu Liu +2
Map generalization remains one of the fundamental tasks in cartography, especially for the simplification and aggregation of complex building footprints. This study presents the fi…
Gap Completion in Point Cloud Scene occluded by Vehicles using SGC-Net
Yu Feng, Yiming Xu, Yan Xia +2
Recent advances in mobile mapping systems have greatly enhanced the efficiency and convenience of acquiring urban 3D data. These systems utilize LiDAR sensors mounted on vehicles t…
Determination of building flood risk maps from LiDAR mobile mapping data
Yu Feng, Qing Xiao, Claus Brenner +4
With increasing urbanization, flooding is a major challenge for many cities today. Based on forecast precipitation, topography, and pipe networks, flood simulations can provide ear…
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: a case study of Hurricane Harvey
Yu Feng, Claus Brenner, Monika Sester
With increasing urbanization, in recent years there has been a growing interest and need in monitoring and analyzing urban flood events. Social media, as a new data source, can pro…