Performance evaluation of individual tree detection and segmentation algorithms using ALS data in Chir Pine (Pinus roxburghii) forest-Reference-Cited by-同舟云学术

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Performance evaluation of individual tree detection and segmentation algorithms using ALS data in Chir Pine (Pinus roxburghii) forest

Published:2024-04 Issue: Volume:34 Page:101178
ISSN:2352-9385
Container-title:Remote Sensing Applications: Society and Environment
language:en
Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Saeed Tahir,Hussain Ejaz,Ullah Sami^ORCID,Iqbal Javed^ORCID,Atif Salman^ORCID,Yousaf Mohsin

Publisher

Elsevier BV

Reference91 articles.

1. Delineating tree crowns from airborne laser scanning point cloud data using Delaunay triangulation;Alexander;Int. J. Rem. Sens.,2009

2. A comparative assessment of the performance of individual tree crowns delineation algorithms from ALS data in tropical forests;Aubry-Kientz;Rem. Sens.,2019

3. Estimation of standing dead tree class distributions in northwest coastal forests using lidar remote sensing;Bater;Can. J. For. Res.,2009

4. Individual tree delineation in deciduous forest areas with LiDAR point clouds;Bian;Can. J. Rem. Sens.,2014

5. Methodology of calculating the number of trees based on ALS data for forestry applications for the area of samławki forest district;Błaszczak-Bąk;Rem. Sens.,2022

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