Segmentation of Individual Tree Points by Combining Marker-Controlled Watershed Segmentation and Spectral Clustering Optimization

Segmentation of Individual Tree Points by Combining Marker-Controlled Watershed Segmentation and Spectral Clustering Optimization

Accurate identification and segmentation of individual tree points are crucial for assessing forest spatial distribution, understanding tree growth and structure, and managing forest resources. Traditional methods based on Canopy Height Models (CHM) are simple yet prone to over- and/or under-segment...

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Bibliographic Details
Main Authors: Yuchan Liu, Dong Chen, Shihan Fu, Panagiotis Takis Mathiopoulos, Mingming Sui, Jiaming Na, Jiju Peethambaran
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
marker-controlled watershed
individual tree segmentation
spectral clustering
tree crown profile delineation
LiDAR point clouds
Online Access:https://www.mdpi.com/2072-4292/16/4/610

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https://www.mdpi.com/2072-4292/16/4/610

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