Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner

This paper shows the results obtained by classifying point clouds from LiDAR using Object Based Image Analysis (OBIA) with Trimble's eCognition software. This is a pilot project that demonstrates promising prospects for the application of OBIA analysis to the field of laser acquisitions. The p...

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Autor principal:	Vera Costantini
Formato:	article
Lenguaje:	EN IT
Publicado:	mediaGEO soc. coop. 2021
Materias:	LiDAR OBIA motorway classificazione automatica mobile mapping nuvola di punti Cartography GA101-1776 Cadastral mapping GA109.5
Acceso en línea:	https://doaj.org/article/dba45d0a21ab41c6a70108bbf857d1bb
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id	oai:doaj.org-article:dba45d0a21ab41c6a70108bbf857d1bb
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spelling	oai:doaj.org-article:dba45d0a21ab41c6a70108bbf857d1bb2021-11-09T17:40:07ZClassificazione OBIA automatica di elementi stradali acquisiti con laser scanner10.48258/geo.v25i1.17781128-81322283-5687https://doaj.org/article/dba45d0a21ab41c6a70108bbf857d1bb2021-04-01T00:00:00Zhttps://www.mediageo.it/ojs/index.php/GEOmedia/article/view/1778https://doaj.org/toc/1128-8132https://doaj.org/toc/2283-5687 This paper shows the results obtained by classifying point clouds from LiDAR using Object Based Image Analysis (OBIA) with Trimble's eCognition software. This is a pilot project that demonstrates promising prospects for the application of OBIA analysis to the field of laser acquisitions. The point cloud acquired with LiDAR technology was automatically classified within eCognition Developer 10 software, in order to extract the main elements of a motorway axis. The result is excellent, also considering the fact that there was no manual editing. We reached an accuracy of 86% in identification of the targets. Vera CostantinimediaGEO soc. coop.articleLiDAROBIAmotorwayclassificazione automaticamobile mappingnuvola di puntiCartographyGA101-1776Cadastral mappingGA109.5ENITGEOmedia, Vol 25, Iss 1 (2021)
institution	DOAJ
collection	DOAJ
language	EN IT
topic	LiDAR OBIA motorway classificazione automatica mobile mapping nuvola di punti Cartography GA101-1776 Cadastral mapping GA109.5
spellingShingle	LiDAR OBIA motorway classificazione automatica mobile mapping nuvola di punti Cartography GA101-1776 Cadastral mapping GA109.5 Vera Costantini Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner
description	This paper shows the results obtained by classifying point clouds from LiDAR using Object Based Image Analysis (OBIA) with Trimble's eCognition software. This is a pilot project that demonstrates promising prospects for the application of OBIA analysis to the field of laser acquisitions. The point cloud acquired with LiDAR technology was automatically classified within eCognition Developer 10 software, in order to extract the main elements of a motorway axis. The result is excellent, also considering the fact that there was no manual editing. We reached an accuracy of 86% in identification of the targets.
format	article
author	Vera Costantini
author_facet	Vera Costantini
author_sort	Vera Costantini
title	Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner
title_short	Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner
title_full	Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner
title_fullStr	Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner
title_full_unstemmed	Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner
title_sort	classificazione obia automatica di elementi stradali acquisiti con laser scanner
publisher	mediaGEO soc. coop.
publishDate	2021
url	https://doaj.org/article/dba45d0a21ab41c6a70108bbf857d1bb
work_keys_str_mv	AT veracostantini classificazioneobiaautomaticadielementistradaliacquisiticonlaserscanner
_version_	1718440971248599040

Classificazione OBIA automatica di elementi stradali acquisiti con laser scanner

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