Identifying treetops from aerial laser scanning data with particle swarming optimization-Reference-Cited by-同舟云学术

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Identifying treetops from aerial laser scanning data with particle swarming optimization

Published:2018-01-01 Issue:1 Volume:51 Page:945-964
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Franceschi Silvia¹^ORCID,Antonello Andrea²,Floreancig Valentino¹,Gianelle Damiano³^ORCID,Comiti Francesco¹,Tonon Giustino¹^ORCID

Affiliation:

1. Faculty of Science and Technology, Free University of Bolzano, Bolzano, Italy

2. HydroloGIS srl, Bolzano, Italy

3. Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy

Funder

Free University of Bolzano

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2018.1521707

Reference53 articles.

1. Processing of laser scanner data—algorithms and applications

2. Public participation in GIS via mobile applications

3. Isolating Individual Trees in a Savanna Woodland Using Small Footprint Lidar Data

4. Comparing echo-based and canopy height model-based metrics for enhancing estimation of forest aboveground biomass in a model-assisted framework

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1. Detection of Growth Change of Young Forest Based on UAV RGB Images at Single-Tree Level;Forests;2023-01-12

2. Modeling Merchantable Wood Volume Using Airborne LiDAR Metrics and Historical Forest Inventory Plots at a Provincial Scale;Forests;2022-06-23

3. Integrated Low-Cost Approach for Measuring the State of Conservation of Agricultural Terraces in Tuscany, Italy;Water;2021-01-06

4. Treetop detection using convolutional neural networks trained through automatically generated pseudo labels;International Journal of Remote Sensing;2019-12-23

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