STATE-OF-THE-ART OF 3D NATIONAL MAPPING IN 2016

6 citations as recorded by crossref.

1. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead C. Beil & T. Kolbe https://doi.org/10.3390/ijgi13100363
2. LiDAR-based method for analysing landmark visibility to pedestrians in cities: case study in Kraków, Poland K. Pyka et al. https://doi.org/10.1080/13658816.2021.2015600
3. Assessment of Accuracy in the Identification of Rock Formations from Aerial and Terrestrial Laser-Scanning Data V. Paleček & P. Kubíček https://doi.org/10.3390/ijgi7040142
4. Performance Analysis of Random Forest Algorithm in Automatic Building Segmentation with Limited Data R. Widyastuti et al. https://doi.org/10.3390/ijgi13070235
5. Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model C. Beil et al. https://doi.org/10.3390/ijgi9100603
6. An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene Y. Guo et al. https://doi.org/10.1080/17538947.2024.2449185