DETECTION OF BUILDING ROOFS AND FACADES FROM AERIAL LASER SCANNING DATA USING DEEP LEARNING

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1. Open software and standards in the realm of laser scanning technology F. Pirotti 10.1186/s40965-019-0073-z
2. Hyperparameter tuning of convolutional neural networks for building construction image classification A. Ottoni et al. 10.1007/s00371-021-02350-9
3. Towards open-source LOD2 modelling using convolutional neural networks H. Muftah et al. 10.1007/s40808-021-01159-8
4. Influence of LiDAR Point Cloud Density in the Geometric Characterization of Rooftops for Solar Photovoltaic Studies in Cities M. Sánchez-Aparicio et al. 10.3390/rs12223726
5. Monitoring of Immovable Cultural Heritage Implementing 3D and Artificial Intelligence Technologies R. Laužikas et al. 10.15388/ArchLit.2019.20.7
6. Semi-automatic roof modelling from indoor laser-acquired data R. Otero et al. 10.1016/j.autcon.2022.104130
7. Multi-scale roof characterization from LiDAR data and aerial orthoimagery: Automatic computation of building photovoltaic capacity J. Martín-Jiménez et al. 10.1016/j.autcon.2019.102965
8. Automatic filtering and 2D modeling of airborne laser scanning building point cloud F. Tarsha Kurdi et al. 10.1111/tgis.12685
9. Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof F. Tarsha Kurdi et al. 10.3390/rs14020430