Content-Sensitive Multilevel Point Cluster Construction for ALS Point Cloud Classification

Content-Sensitive Multilevel Point Cluster Construction for ALS Point Cloud Classification

Airborne laser scanning (ALS) point cloud classification is a challenge due to factors including complex scene structure, various densities, surface morphology, and the number of ground objects. A point cloud classification method is presented in this paper, based on content-sensitive multilevel obj...

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Bibliographic Details
Main Authors: Zongxia Xu, Zhenxin Zhang, Ruofei Zhong, Dong Chen, Taochun Sun, Xin Deng, Zhen Li, Cheng-Zhi Qin
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Remote Sensing
Subjects:
ALS point cloud
content-sensitive multilevel point clusters
hierarchical classification framework
Online Access:https://www.mdpi.com/2072-4292/11/3/342

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https://www.mdpi.com/2072-4292/11/3/342

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