Identifying every building's function in large-scale urban areas with multi-modality remote-sensing data

arXiv:2405.05133v1 Announce Type: new
Abstract: Buildings, as fundamental man-made structures in urban environments, serve as crucial indicators for understanding various city function zones. Rapid urbanization has raised an urgent need for efficiently surveying building footprints and functions. In this study, we proposed a semi-supervised framework to identify every building's function in large-scale urban areas with multi-modality remote-sensing data. In detail, optical images, building height, and nighttime-light data are collected to describe the morphological attributes of buildings. Then, the area of …

arxiv building cs.cv data eess.iv every function remote-sensing scale sensing type urban