Machine learning-based segmentation of aerial LiDAR point cloud data on building roof
ABSTRACTThree-dimensional (3D) reconstruction of a building can be facilitated by correctly segmenting different feature points (e.g. in the form of boundary, fold edge, and planar points) over the building roof, and then, establishing relationships among the constructed feature lines and planar pat...
Main Authors: | Emon Kumar Dey, Mohammad Awrangjeb, Fayez Tarsha Kurdi, Bela Stantic |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
|
Series: | European Journal of Remote Sensing |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2023.2210745 |
Similar Items
-
Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data
by: Emon Kumar Dey, et al.
Published: (2021-04-01) -
Aerial LiDAR Data Augmentation for Direct Point-Cloud Visualisation
by: Ciril Bohak, et al.
Published: (2020-04-01) -
Scan Line Based Road Marking Extraction from Mobile LiDAR Point Clouds
by: Li Yan, et al.
Published: (2016-06-01) -
Extraction of Building Roof Contours from Airborne LiDAR Point Clouds Based on Multidirectional Bands
by: Jingxue Wang, et al.
Published: (2024-01-01) -
A Novel Algorithm Based on Geometric Characteristics for Tree Branch Skeleton Extraction from LiDAR Point Cloud
by: Jie Yang, et al.
Published: (2022-09-01)