Automatic LIDAR building segmentation based on DGCNN and euclidean clustering

Automatic LIDAR building segmentation based on DGCNN and euclidean clustering

Abstract There has been growing demand for 3D modeling from earth observations, especially for purposes of urban and regional planning and management. The results of 3D observations has slowly become the primary source of data in terms of policy determination and infrastructure planning. In this res...

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Bibliographic Details
Main Authors: Ahmad Gamal, Ari Wibisono, Satrio Bagus Wicaksono, Muhammad Alvin Abyan, Nur Hamid, Hanif Arif Wisesa, Wisnu Jatmiko, Ronny Ardhianto
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Journal of Big Data
Subjects:
LiDAR
DGCNN
Building segmentation
Euclidean clustering
Online Access:http://link.springer.com/article/10.1186/s40537-020-00374-x

Internet

http://link.springer.com/article/10.1186/s40537-020-00374-x

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