Vegetation Extraction from Airborne Laser Scanning Data of Urban Plots Based on Point Cloud Neighborhood Features

Vegetation Extraction from Airborne Laser Scanning Data of Urban Plots Based on Point Cloud Neighborhood Features

This study proposes an accurate vegetation extraction method used for airborne laser scanning data of an urban plot based on point cloud neighborhood features to overcome the deficiencies in the current research on the precise extraction of vegetation in urban plots. First, the plane features in the...

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Bibliographic Details
Main Authors: Jianpeng Zhang, Jinliang Wang, Weifeng Ma, Yuncheng Deng, Jiya Pan, Jie Li
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Forests
Subjects:
airborne laser scanning
Euclidean distance clustering
point cloud plane features
point cloud discrete features
urban plots
vegetation extraction
Online Access:https://www.mdpi.com/1999-4907/14/4/691

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https://www.mdpi.com/1999-4907/14/4/691

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