Title
A hybrid method for segmenting individual trees from airborne lidar data.
Abstract
•Proposed a hybrid method to segment individual trees from airborne lidar data.•Proposed a local maxima index to select highly accurate local maxima.•Proposed a point based vertical profile method to detect understorey trees.•Proposed three constraints to reduce the misclassification of tree branches.•Estimated highly accurate tree heights and individual crown widths.
Year
DOI
Venue
2019
10.1016/j.compag.2019.104871
Computers and Electronics in Agriculture
Keywords
Field
DocType
Forest inventory,Airborne lidar,Tree segmentation,Canopy height models,Tree crown widths
Computer vision,Histogram,Market segmentation,Pattern recognition,Segmentation,Maxima and minima,Ground truth,Lidar,Artificial intelligence,Lidar data,Engineering,Point cloud
Journal
Volume
ISSN
Citations 
163
0168-1699
1
PageRank 
References 
Authors
0.41
0
4
Name
Order
Citations
PageRank
Li Liu116950.09
Samsung Lim26812.02
Xuesong Shen352.79
Marta Yebra4144.93