Applications of Lidar Data Exploitation for Displacement Measurements and Change Detection

The denser the Lidar data, the more faithfully it models the terrain. This property of dense Lidar data allows a detection of changes but also their quantification at a level of precision that can highlight even displacements of objects in all three spatial directions. The point cloud has different...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Revista minelor (Bucharest, Romania : 1990) Romania : 1990), 2024-09, Vol.30 (3), p.55-60
Hauptverfasser:	Glonţ, Cristiana, Balotă, Octavian Laurențiu, Balasz, Csaba
Format:	Artikel
Sprache:	eng
Schlagworte:	application change detection cloud points Lidar
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

container_end_page	60
container_issue	3
container_start_page	55
container_title	Revista minelor (Bucharest, Romania : 1990)
container_volume	30
creator	Glonţ, Cristiana Balotă, Octavian Laurențiu Balasz, Csaba
description	The denser the Lidar data, the more faithfully it models the terrain. This property of dense Lidar data allows a detection of changes but also their quantification at a level of precision that can highlight even displacements of objects in all three spatial directions. The point cloud has different densities and accuracies depending on the platform on which the scanning system is installed (manned aircraft, drones or ground stations). Density and precision parameters drive different approaches in change detection algorithms. For completing these tasks, two independent applications were developed to highlight both major landscape changes and smaller changes such as displacement of objects, construction settlements, landslides.
doi_str_mv	10.2478/minrv-2024-0026
format	Article
fullrecord	<record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3159554076</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3159554076</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1215-5e0853315154fa9149acc288580c584d6303e1e25152e2fb56ff934b83f851b63</originalsourceid><addsrcrecordid>eNp1UD1PwzAQtRBIVKUzqyXmUH_EqSOxVG35kIJYYGGxXOdcXKVJsBOg_x6nRYKFW-7p3b13p4fQJSXXLJ3J6c7V_iNhhKUJISw7QSMW-USKnJz-wedoEsKWxMo5l4KP0Ou8bStndOeaOuDG4sKV2uOl7jRefbVV47rDDNsmsi60lTawg7rDj6BD7w84YF2XePGm6w3gJXRgBskFOrO6CjD56WP0crt6XtwnxdPdw2JeJIYyKhIBJH7CqaAitTqnaa6NYVIKSYyQaZlxwoECi3MGzK5FZm3O07XkVgq6zvgYXR19W9-89xA6tW16X8eTKrrmQqRkNmxNj1vGNyF4sKr1bqf9XlGihgzVIUM1ZKiGDKPi5qj41FUHvoSN7_cR_Nr_pyRcCP4NFT14jQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3159554076</pqid></control><display><type>article</type><title>Applications of Lidar Data Exploitation for Displacement Measurements and Change Detection</title><source>De Gruyter Open Access Journals</source><creator>Glonţ, Cristiana ; Balotă, Octavian Laurențiu ; Balasz, Csaba</creator><creatorcontrib>Glonţ, Cristiana ; Balotă, Octavian Laurențiu ; Balasz, Csaba</creatorcontrib><description>The denser the Lidar data, the more faithfully it models the terrain. This property of dense Lidar data allows a detection of changes but also their quantification at a level of precision that can highlight even displacements of objects in all three spatial directions. The point cloud has different densities and accuracies depending on the platform on which the scanning system is installed (manned aircraft, drones or ground stations). Density and precision parameters drive different approaches in change detection algorithms. For completing these tasks, two independent applications were developed to highlight both major landscape changes and smaller changes such as displacement of objects, construction settlements, landslides.</description><identifier>ISSN: 2247-8590</identifier><identifier>ISSN: 1220-2053</identifier><identifier>EISSN: 2247-8590</identifier><identifier>DOI: 10.2478/minrv-2024-0026</identifier><language>eng</language><publisher>Petrosani: Sciendo</publisher><subject>application ; change detection ; cloud points ; Lidar</subject><ispartof>Revista minelor (Bucharest, Romania : 1990), 2024-09, Vol.30 (3), p.55-60</ispartof><rights>2024. This work is published under https://creativecommons.org/licenses/by-sa/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://sciendo.com/pdf/10.2478/minrv-2024-0026$$EPDF$$P50$$Gwalterdegruyter$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://sciendo.com/article/10.2478/minrv-2024-0026$$EHTML$$P50$$Gwalterdegruyter$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27901,27902,75906,75907</link.rule.ids></links><search><creatorcontrib>Glonţ, Cristiana</creatorcontrib><creatorcontrib>Balotă, Octavian Laurențiu</creatorcontrib><creatorcontrib>Balasz, Csaba</creatorcontrib><title>Applications of Lidar Data Exploitation for Displacement Measurements and Change Detection</title><title>Revista minelor (Bucharest, Romania : 1990)</title><description>The denser the Lidar data, the more faithfully it models the terrain. This property of dense Lidar data allows a detection of changes but also their quantification at a level of precision that can highlight even displacements of objects in all three spatial directions. The point cloud has different densities and accuracies depending on the platform on which the scanning system is installed (manned aircraft, drones or ground stations). Density and precision parameters drive different approaches in change detection algorithms. For completing these tasks, two independent applications were developed to highlight both major landscape changes and smaller changes such as displacement of objects, construction settlements, landslides.</description><subject>application</subject><subject>change detection</subject><subject>cloud points</subject><subject>Lidar</subject><issn>2247-8590</issn><issn>1220-2053</issn><issn>2247-8590</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1UD1PwzAQtRBIVKUzqyXmUH_EqSOxVG35kIJYYGGxXOdcXKVJsBOg_x6nRYKFW-7p3b13p4fQJSXXLJ3J6c7V_iNhhKUJISw7QSMW-USKnJz-wedoEsKWxMo5l4KP0Ou8bStndOeaOuDG4sKV2uOl7jRefbVV47rDDNsmsi60lTawg7rDj6BD7w84YF2XePGm6w3gJXRgBskFOrO6CjD56WP0crt6XtwnxdPdw2JeJIYyKhIBJH7CqaAitTqnaa6NYVIKSYyQaZlxwoECi3MGzK5FZm3O07XkVgq6zvgYXR19W9-89xA6tW16X8eTKrrmQqRkNmxNj1vGNyF4sKr1bqf9XlGihgzVIUM1ZKiGDKPi5qj41FUHvoSN7_cR_Nr_pyRcCP4NFT14jQ</recordid><startdate>20240901</startdate><enddate>20240901</enddate><creator>Glonţ, Cristiana</creator><creator>Balotă, Octavian Laurențiu</creator><creator>Balasz, Csaba</creator><general>Sciendo</general><general>De Gruyter Poland</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20240901</creationdate><title>Applications of Lidar Data Exploitation for Displacement Measurements and Change Detection</title><author>Glonţ, Cristiana ; Balotă, Octavian Laurențiu ; Balasz, Csaba</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1215-5e0853315154fa9149acc288580c584d6303e1e25152e2fb56ff934b83f851b63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>application</topic><topic>change detection</topic><topic>cloud points</topic><topic>Lidar</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Glonţ, Cristiana</creatorcontrib><creatorcontrib>Balotă, Octavian Laurențiu</creatorcontrib><creatorcontrib>Balasz, Csaba</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Revista minelor (Bucharest, Romania : 1990)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Glonţ, Cristiana</au><au>Balotă, Octavian Laurențiu</au><au>Balasz, Csaba</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applications of Lidar Data Exploitation for Displacement Measurements and Change Detection</atitle><jtitle>Revista minelor (Bucharest, Romania : 1990)</jtitle><date>2024-09-01</date><risdate>2024</risdate><volume>30</volume><issue>3</issue><spage>55</spage><epage>60</epage><pages>55-60</pages><issn>2247-8590</issn><issn>1220-2053</issn><eissn>2247-8590</eissn><abstract>The denser the Lidar data, the more faithfully it models the terrain. This property of dense Lidar data allows a detection of changes but also their quantification at a level of precision that can highlight even displacements of objects in all three spatial directions. The point cloud has different densities and accuracies depending on the platform on which the scanning system is installed (manned aircraft, drones or ground stations). Density and precision parameters drive different approaches in change detection algorithms. For completing these tasks, two independent applications were developed to highlight both major landscape changes and smaller changes such as displacement of objects, construction settlements, landslides.</abstract><cop>Petrosani</cop><pub>Sciendo</pub><doi>10.2478/minrv-2024-0026</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext	fulltext
identifier	ISSN: 2247-8590
ispartof	Revista minelor (Bucharest, Romania : 1990), 2024-09, Vol.30 (3), p.55-60
issn	2247-8590 1220-2053 2247-8590
language	eng
recordid	cdi_proquest_journals_3159554076
source	De Gruyter Open Access Journals
subjects	application change detection cloud points Lidar
title	Applications of Lidar Data Exploitation for Displacement Measurements and Change Detection
url	https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T23%3A56%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Applications%20of%20Lidar%20Data%20Exploitation%20for%20Displacement%20Measurements%20and%20Change%20Detection&rft.jtitle=Revista%20minelor%20(Bucharest,%20Romania%20:%201990)&rft.au=Glon%C5%A3,%20Cristiana&rft.date=2024-09-01&rft.volume=30&rft.issue=3&rft.spage=55&rft.epage=60&rft.pages=55-60&rft.issn=2247-8590&rft.eissn=2247-8590&rft_id=info:doi/10.2478/minrv-2024-0026&rft_dat=%3Cproquest_cross%3E3159554076%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3159554076&rft_id=info:pmid/&rfr_iscdi=true