An Automatic Hierarchical Clustering Method for the LiDAR Point Cloud Segmentation of Buildings via Shape Classification and Outliers Reassignment

An Automatic Hierarchical Clustering Method for the LiDAR Point Cloud Segmentation of Buildings via Shape Classification and Outliers Reassignment

Shape segmentation in urban environments forms the foundation for tasks such as classification and reconstruction. Most artificial buildings with complex structures are composed of multiple simple geometric primitives. Based on this assumption, this paper proposes a divisive hierarchical clustering...

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Bibliographic Details
Main Authors: Feng Wang, Guoqing Zhou, Jiali Xie, Bolin Fu, Haotian You, Jianjun Chen, Xue Shi, Bowen Zhou
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
hierarchical clustering
BIP
LiDAR point cloud
segmentation
Online Access:https://www.mdpi.com/2072-4292/15/9/2432

Internet

https://www.mdpi.com/2072-4292/15/9/2432

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