AUTOMATIC EXTRACTION OF BUILDING ROOF PLANES FROM AIRBORNE LIDAR DATA APPLYING AN EXTENDED 3D RANDOMIZED HOUGH TRANSFORM

10 citations as recorded by crossref.

1. Identification of Roof Surfaces from LiDAR Cloud Points by GIS Tools: A Case Study of Lučenec, Slovakia M. Gergelova et al. https://doi.org/10.3390/su12176847
2. Semantic Geometric Modelling of Unstructured Indoor Point Cloud W. Shi et al. https://doi.org/10.3390/ijgi8010009
3. Localized urbogeosystemic analsis through lidar data for formalized urban population estimation S. Kostrikov & D. Serohin https://doi.org/10.26565/2076-1333-2024-36-01
4. Spatial assessment of buildings energy consumption based on three-dimensional modeling of the urban environment D. Serohin & S. Kostrikov https://doi.org/10.26565/2076-1333-2023-34-03
5. Principles of processing and three-dimensional modelling through lidar data for applied research of the urban environment D. Serohin https://doi.org/10.26565/2410-7360-2022-57-17
6. Multifaceted Geometric Assessment towards Simplified Urban Surfaces Built by 3D Reconstruction S. Liu et al. https://doi.org/10.3390/ijgi8080360
7. Building semantic segmentation from large-scale point clouds via primitive recognition C. Romanengo et al. https://doi.org/10.1016/j.gmod.2024.101234
8. Using Machine Learning to Extract Building Inventory Information Based on LiDAR Data G. Kaplan et al. https://doi.org/10.3390/ijgi11100517
9. Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv S. Kostrikov & D. Serohin https://doi.org/10.1080/22797254.2025.2491750
10. ELiT, Multifunctional Web-Software for Feature Extraction from 3D LiDAR Point Clouds S. Kostrikov et al. https://doi.org/10.3390/ijgi9110650