[HTML][HTML] From aerial LiDAR point clouds to multiscale urban representation levels by a parametric resampling
Urban simulations that involve disaster prevention, urban design, and assisted navigation
heavily rely on urban geometric models. While large urban areas need a lot of time to be …
heavily rely on urban geometric models. While large urban areas need a lot of time to be …
[HTML][HTML] Energy-Saving Geospatial Data Storage—LiDAR Point Cloud Compression
A Warchoł, K Pęzioł, M Baścik - Energies, 2024 - mdpi.com
In recent years, the growth of digital data has been unimaginable. This also applies to
geospatial data. One of the largest data types is LiDAR point clouds. Their large volumes on …
geospatial data. One of the largest data types is LiDAR point clouds. Their large volumes on …
ZAHA: Introducing the Level of Facade Generalization and the Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset
Facade semantic segmentation is a long-standing challenge in photogrammetry and
computer vision. Although the last decades have witnessed the influx of facade …
computer vision. Although the last decades have witnessed the influx of facade …
Inpainting of unseen façade objects using deep learning methods
T Fröch - 2023 - mediatum.ub.tum.de
In the realm of 3D reconstruction pipelines, 2D conflict maps that indicate the presence
openings in façades such as windows and doors, represent an intermediate output [1] …
openings in façades such as windows and doors, represent an intermediate output [1] …