Towards an unsupervised large-scale 2D and 3D building mapping with airborne LiDAR data. (arXiv:2205.14585v2 [cs.CV] UPDATED)

A 2D and 3D building map provides invaluable information for understanding
human activities and their impacts on the Earth and its environment. Despite
enormous efforts to improve the quality of building maps, current large-scale
building maps generated from automated methods have many errors and
uncertainties and are often limited to providing only 2D building information.
This study presents an open-source unsupervised 2D and 3D building extraction
algorithm with airborne LiDAR data that is suitable for large-scale building
mapping. Our algorithm …

3d arxiv building cv data lidar mapping scale unsupervised