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Naslov:A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space
Avtorji:ID Eysn, Lothar (Avtor)
ID Hollaus, Markus (Avtor)
ID Lindberg, Eva (Avtor)
ID Berger, Frédéric (Avtor)
ID Monnet, Jean-Matthieu (Avtor)
ID Dalponte, Michele (Avtor)
ID Kobal, Milan (Avtor)
ID Pellegrini, Marco Antonio (Avtor)
ID Lingua, Emanuele (Avtor)
ID Mongus, Domen (Avtor)
ID Pfeifer, Norbert (Avtor)
Datoteke:.pdf Forests_2015_Eysn_et_al._A_Benchmark_of_Lidar-Based_Single_Tree_Detection_Methods_Using_Heterogeneous_Forest_Data_from_the_Alpine_Space.pdf (13,97 MB)
MD5: F414E2B6712A192CF38600131ECE0501
 
URL http://www.mdpi.com/1999-4907/6/5/1721/
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
Opis:In this study, eight airborne laser scanning (ALS)-based single tree detection methods are benchmarked and investigated. The methods were applied to a unique dataset originating from different regions of the Alpine Space covering different study areas, forest types, and structures. This is the first benchmark ever performed for different forests within the Alps. The evaluation of the detection results was carried out in a reproducible way by automatically matching them to precise in situ forest inventory data using a restricted nearest neighbor detection approach. Quantitative statistical parameters such as percentages of correctly matched trees and omission and commission errors are presented. The proposed automated matching procedure presented herein shows an overall accuracy of 97%. Method based analysis, investigations per forest type, and an overall benchmark performance are presented. The best matching rate was obtained for single-layered coniferous forests. Dominated trees were challenging for all methods. The overall performance shows a matching rate of 47%, which is comparable to results of other benchmarks performed in the past. The study provides new insight regarding the potential and limits of tree detection with ALS and underlines some key aspects regarding the choice of method when performing single tree detection for the various forest types encountered in alpine regions.
Ključne besede:single tree extraction, airborne laser scanning, forest inventory, comparative testing, co-registration, mountain forests, Alpine space, matching
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Leto izida:2015
Št. strani:str. 1721-1747
Številčenje:Letn. 6, št. 5
PID:20.500.12556/DKUM-60154 Novo okno
ISSN:1999-4907
UDK:630*52:630*22:004.92
COBISS.SI-ID:18684182 Novo okno
DOI:10.3390/f6051721 Novo okno
ISSN pri članku:1999-4907
NUK URN:URN:SI:UM:DK:TGRMWY4Y
Datum objave v DKUM:21.06.2017
Število ogledov:1263
Število prenosov:392
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
:
EYSN, Lothar, HOLLAUS, Markus, LINDBERG, Eva, BERGER, Frédéric, MONNET, Jean-Matthieu, DALPONTE, Michele, KOBAL, Milan, PELLEGRINI, Marco Antonio, LINGUA, Emanuele, MONGUS, Domen in PFEIFER, Norbert, 2015, A benchmark of lidar-based single tree detection methods using heterogeneous forest data from the alpine space. Forests [na spletu]. 2015. Vol. 6, no. 5, p. 1721–1747. [Dostopano 6 april 2025]. DOI 10.3390/f6051721. Pridobljeno s: https://dk.um.si/IzpisGradiva.php?lang=slv&id=60154
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Gradivo je del revije

Naslov:Forests
Skrajšan naslov:Forests
Založnik:MDPI
ISSN:1999-4907
COBISS.SI-ID:3872166 Novo okno

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:09.06.2016

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:gozdna inventura, gorski gozdovi, Alpe


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