A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging

A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle–Light Detecting and Ranging

Accurate individual tree segmentation (ITS) in dense rubber plantations is a challenging task due to overlapping canopies, indistinct tree apexes, and intricate branch structures. To address these challenges, we propose a bottom-up, multi-feature fusion method for segmenting rubber trees using UAV-L...

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Bibliographic Details
Main Authors: Zhipeng Zeng, Junpeng Miao, Xiao Huang, Peng Chen, Ping Zhou, Junxiang Tan, Xiangjun Wang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Plants
Subjects:
individual tree segmentation
LiDAR point clouds
rubber plantations
bottom-up segmentation
multi-feature fusion
precision forestry
Online Access:https://www.mdpi.com/2223-7747/14/11/1640
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