3 papers
cs.DB2023
cjdb: a simple, fast, and lean database solution for the CityGML data model
Leon Powałka, Chris Poon, Yitong Xia +6
When it comes to storing 3D city models in a database, the implementation of the CityGML data model can be quite demanding and often results in complicated schemas. As an example,…
cs.CV2021
The Hessigheim 3D (H3D) Benchmark on Semantic Segmentation of High-Resolution 3D Point Clouds and Textured Meshes from UAV LiDAR and Multi-View-Stereo
Michael Kölle, Dominik Laupheimer, Stefan Schmohl +4
Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural…
cs.DB2019
CityJSON: a compact and easy-to-use encoding of the CityGML data model
Hugo Ledoux, Ken Arroyo Ohori, Kavisha Kumar +3
The international standard CityGML is both a data model and an exchange format to store digital 3D models of cities. While the data model is used by several cities, companies, and…