INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND

INDIVIDUAL TREE DETECTION FROM UAV LIDAR DATA IN A MIXED SPECIES WOODLAND

The study evaluates five existing segmentation algorithms to determine the method most suitable for individual tree detection across a species-diverse forest: raster-based region growing, local maxima centroidal Voronoi tessellation, point-cloud level region growing, marker controlled watershed and...

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Bibliographic Details
Main Authors:	A. Zaforemska, W. Xiao, R. Gaulton
Format:	Article
Language:	English
Published:	Copernicus Publications 2019-06-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/657/2019/isprs-archives-XLII-2-W13-657-2019.pdf

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