Systematic Comparison of Objects Classification Methods Based on ALS and Optical Remote Sensing Images in Urban Areas

Systematic Comparison of Objects Classification Methods Based on ALS and Optical Remote Sensing Images in Urban Areas

Geographical object classification and information extraction is an important topic for the construction of 3D virtual reality and digital twin cities in urban areas. However, the majority of current multi-target classification of urban scenes uses only a single source data (optical remote sensing i...

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Bibliographic Details
Main Authors: Hengfan Cai, Yanjun Wang, Yunhao Lin, Shaochun Li, Mengjie Wang, Fei Teng
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Electronics
Subjects:
airborne LiDAR point cloud
feature extraction
point cloud classification
machine learning
feature fusion
Online Access:https://www.mdpi.com/2079-9292/11/19/3041

Internet

https://www.mdpi.com/2079-9292/11/19/3041

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