Loading…

3D MODELLING USING AERIAL OBLIQUE IMAGES WITH CLOSE RANGE UAV BASED DATA FOR SINGLE OBJECTS

The request for 3D Data for the use of 3D city-models is increasing rapidly. More and more tools are able to deal with data of several sensors, out of video-streams, oblique camera setups with huge overlaps as well as terrestrial data. To achieve high accuracy of the data and a fast processing pipel...

Full description

Saved in:
Bibliographic Details
Published in:International archives of the photogrammetry, remote sensing and spatial information sciences. remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.377-382
Main Authors: Orlik, T., Shechter, E. B., Kemper, G.
Format: Article
Language:English
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 382
container_issue
container_start_page 377
container_title International archives of the photogrammetry, remote sensing and spatial information sciences.
container_volume XLIII-B2-2021
creator Orlik, T.
Shechter, E. B.
Kemper, G.
description The request for 3D Data for the use of 3D city-models is increasing rapidly. More and more tools are able to deal with data of several sensors, out of video-streams, oblique camera setups with huge overlaps as well as terrestrial data. To achieve high accuracy of the data and a fast processing pipeline, a smart workflow has to be defined and established. However, mixed data sources are still a challenge especially if different sensors with an extremely different GSD are used. This abstracts demonstrates such a workflow, the processing pipeline and the challenges in a mixed data processing. Special calibration and co-calibrating procedures have been applied to get model in model solution managed to solve the dual task of 3D city mapping and cultural heritage conservation. Especially the sensor setup directly influences the geometric accuracy of the product. To do missions for 2–5 cm GSD, metric systems are indispensable while for non-metric applications also simple and cheaper sensors do their job. Besides the different data-sources and sensors, the way of capturing and the related projection is a critical issue. While the classical oblique imaging is a standardized airborne application, captures with UAVs are more like close range photogrammetry on the facades. The combination requests specific pre-processing and definition and transformation steps.
doi_str_mv 10.5194/isprs-archives-XLIII-B2-2021-377-2021
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_fc35dfb0b5c9495894f737c215e25b68</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_fc35dfb0b5c9495894f737c215e25b68</doaj_id><sourcerecordid>2585318758</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2891-7e886df8ed2cbd85ec402b0712b41bd963fbefd645f8d27141ed7446011be7903</originalsourceid><addsrcrecordid>eNpNkV1v0zAYhSMEEtO2_2CJa4Pt2LFz6bZeZ-QtomkBiQsr_oJUgxRnQ-LfL0kBcWMfWeec97WeooAYvWW4pu_68ZRH2GX_rf8VR_jZaK3hikCCCIYl54t4UVyQyQxrVNKX_-nXxfU4HhFCmFYVQ-yi-FJuwF2zUcbo-y04tPMp1U5LA5qV0R8OCug7uVUt-KT3t2BtmlaBnbzfKnCQH8FKtmoDNnIvwU2zA3PcqCn5Xq337VXxKnUPY7z-c18Whxu1X99C02z1Whroiagx5FGIKiQRA_EuCBY9RcQhjomj2IW6KpOLKVSUJREIxxTHwCmtEMYu8ulbl4U-94ahO9pT7r93-bcdut4uD0P-arv82PuHaJMvWUgOOeZrWjNR08RL7glmkTBXianrzbnrlIefT3F8tMfhKf-Y1reECVZiwdnsUmeXz8M45pj-TcXIzpjsgsn-xWQXTHZF7EzHTpgWUT4D3R6DBg</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2585318758</pqid></control><display><type>article</type><title>3D MODELLING USING AERIAL OBLIQUE IMAGES WITH CLOSE RANGE UAV BASED DATA FOR SINGLE OBJECTS</title><source>Publicly Available Content Database</source><source>Free E-Journal (出版社公開部分のみ)</source><creator>Orlik, T. ; Shechter, E. B. ; Kemper, G.</creator><creatorcontrib>Orlik, T. ; Shechter, E. B. ; Kemper, G.</creatorcontrib><description>The request for 3D Data for the use of 3D city-models is increasing rapidly. More and more tools are able to deal with data of several sensors, out of video-streams, oblique camera setups with huge overlaps as well as terrestrial data. To achieve high accuracy of the data and a fast processing pipeline, a smart workflow has to be defined and established. However, mixed data sources are still a challenge especially if different sensors with an extremely different GSD are used. This abstracts demonstrates such a workflow, the processing pipeline and the challenges in a mixed data processing. Special calibration and co-calibrating procedures have been applied to get model in model solution managed to solve the dual task of 3D city mapping and cultural heritage conservation. Especially the sensor setup directly influences the geometric accuracy of the product. To do missions for 2–5 cm GSD, metric systems are indispensable while for non-metric applications also simple and cheaper sensors do their job. Besides the different data-sources and sensors, the way of capturing and the related projection is a critical issue. While the classical oblique imaging is a standardized airborne application, captures with UAVs are more like close range photogrammetry on the facades. The combination requests specific pre-processing and definition and transformation steps.</description><identifier>ISSN: 2194-9034</identifier><identifier>ISSN: 1682-1750</identifier><identifier>EISSN: 2194-9034</identifier><identifier>DOI: 10.5194/isprs-archives-XLIII-B2-2021-377-2021</identifier><language>eng</language><publisher>Gottingen: Copernicus GmbH</publisher><subject>Abstracts ; Accuracy ; Calibration ; Cultural heritage ; Cultural resources ; Data analysis ; Data processing ; Data sources ; Geometric accuracy ; Photogrammetry ; Sensors ; Submarine pipelines ; Terrestrial environments ; Three dimensional models ; Unmanned aerial vehicles ; Video data ; Workflow</subject><ispartof>International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.377-382</ispartof><rights>2021. This work is published under https://creativecommons.org/licenses/by/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>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2585318758?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Orlik, T.</creatorcontrib><creatorcontrib>Shechter, E. B.</creatorcontrib><creatorcontrib>Kemper, G.</creatorcontrib><title>3D MODELLING USING AERIAL OBLIQUE IMAGES WITH CLOSE RANGE UAV BASED DATA FOR SINGLE OBJECTS</title><title>International archives of the photogrammetry, remote sensing and spatial information sciences.</title><description>The request for 3D Data for the use of 3D city-models is increasing rapidly. More and more tools are able to deal with data of several sensors, out of video-streams, oblique camera setups with huge overlaps as well as terrestrial data. To achieve high accuracy of the data and a fast processing pipeline, a smart workflow has to be defined and established. However, mixed data sources are still a challenge especially if different sensors with an extremely different GSD are used. This abstracts demonstrates such a workflow, the processing pipeline and the challenges in a mixed data processing. Special calibration and co-calibrating procedures have been applied to get model in model solution managed to solve the dual task of 3D city mapping and cultural heritage conservation. Especially the sensor setup directly influences the geometric accuracy of the product. To do missions for 2–5 cm GSD, metric systems are indispensable while for non-metric applications also simple and cheaper sensors do their job. Besides the different data-sources and sensors, the way of capturing and the related projection is a critical issue. While the classical oblique imaging is a standardized airborne application, captures with UAVs are more like close range photogrammetry on the facades. The combination requests specific pre-processing and definition and transformation steps.</description><subject>Abstracts</subject><subject>Accuracy</subject><subject>Calibration</subject><subject>Cultural heritage</subject><subject>Cultural resources</subject><subject>Data analysis</subject><subject>Data processing</subject><subject>Data sources</subject><subject>Geometric accuracy</subject><subject>Photogrammetry</subject><subject>Sensors</subject><subject>Submarine pipelines</subject><subject>Terrestrial environments</subject><subject>Three dimensional models</subject><subject>Unmanned aerial vehicles</subject><subject>Video data</subject><subject>Workflow</subject><issn>2194-9034</issn><issn>1682-1750</issn><issn>2194-9034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkV1v0zAYhSMEEtO2_2CJa4Pt2LFz6bZeZ-QtomkBiQsr_oJUgxRnQ-LfL0kBcWMfWeec97WeooAYvWW4pu_68ZRH2GX_rf8VR_jZaK3hikCCCIYl54t4UVyQyQxrVNKX_-nXxfU4HhFCmFYVQ-yi-FJuwF2zUcbo-y04tPMp1U5LA5qV0R8OCug7uVUt-KT3t2BtmlaBnbzfKnCQH8FKtmoDNnIvwU2zA3PcqCn5Xq337VXxKnUPY7z-c18Whxu1X99C02z1Whroiagx5FGIKiQRA_EuCBY9RcQhjomj2IW6KpOLKVSUJREIxxTHwCmtEMYu8ulbl4U-94ahO9pT7r93-bcdut4uD0P-arv82PuHaJMvWUgOOeZrWjNR08RL7glmkTBXianrzbnrlIefT3F8tMfhKf-Y1reECVZiwdnsUmeXz8M45pj-TcXIzpjsgsn-xWQXTHZF7EzHTpgWUT4D3R6DBg</recordid><startdate>20210628</startdate><enddate>20210628</enddate><creator>Orlik, T.</creator><creator>Shechter, E. B.</creator><creator>Kemper, G.</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope></search><sort><creationdate>20210628</creationdate><title>3D MODELLING USING AERIAL OBLIQUE IMAGES WITH CLOSE RANGE UAV BASED DATA FOR SINGLE OBJECTS</title><author>Orlik, T. ; Shechter, E. B. ; Kemper, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2891-7e886df8ed2cbd85ec402b0712b41bd963fbefd645f8d27141ed7446011be7903</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Abstracts</topic><topic>Accuracy</topic><topic>Calibration</topic><topic>Cultural heritage</topic><topic>Cultural resources</topic><topic>Data analysis</topic><topic>Data processing</topic><topic>Data sources</topic><topic>Geometric accuracy</topic><topic>Photogrammetry</topic><topic>Sensors</topic><topic>Submarine pipelines</topic><topic>Terrestrial environments</topic><topic>Three dimensional models</topic><topic>Unmanned aerial vehicles</topic><topic>Video data</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Orlik, T.</creatorcontrib><creatorcontrib>Shechter, E. B.</creatorcontrib><creatorcontrib>Kemper, G.</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</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><collection>Engineering collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>International archives of the photogrammetry, remote sensing and spatial information sciences.</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Orlik, T.</au><au>Shechter, E. B.</au><au>Kemper, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3D MODELLING USING AERIAL OBLIQUE IMAGES WITH CLOSE RANGE UAV BASED DATA FOR SINGLE OBJECTS</atitle><jtitle>International archives of the photogrammetry, remote sensing and spatial information sciences.</jtitle><date>2021-06-28</date><risdate>2021</risdate><volume>XLIII-B2-2021</volume><spage>377</spage><epage>382</epage><pages>377-382</pages><issn>2194-9034</issn><issn>1682-1750</issn><eissn>2194-9034</eissn><abstract>The request for 3D Data for the use of 3D city-models is increasing rapidly. More and more tools are able to deal with data of several sensors, out of video-streams, oblique camera setups with huge overlaps as well as terrestrial data. To achieve high accuracy of the data and a fast processing pipeline, a smart workflow has to be defined and established. However, mixed data sources are still a challenge especially if different sensors with an extremely different GSD are used. This abstracts demonstrates such a workflow, the processing pipeline and the challenges in a mixed data processing. Special calibration and co-calibrating procedures have been applied to get model in model solution managed to solve the dual task of 3D city mapping and cultural heritage conservation. Especially the sensor setup directly influences the geometric accuracy of the product. To do missions for 2–5 cm GSD, metric systems are indispensable while for non-metric applications also simple and cheaper sensors do their job. Besides the different data-sources and sensors, the way of capturing and the related projection is a critical issue. While the classical oblique imaging is a standardized airborne application, captures with UAVs are more like close range photogrammetry on the facades. The combination requests specific pre-processing and definition and transformation steps.</abstract><cop>Gottingen</cop><pub>Copernicus GmbH</pub><doi>10.5194/isprs-archives-XLIII-B2-2021-377-2021</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2194-9034
ispartof International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.377-382
issn 2194-9034
1682-1750
2194-9034
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_fc35dfb0b5c9495894f737c215e25b68
source Publicly Available Content Database; Free E-Journal (出版社公開部分のみ)
subjects Abstracts
Accuracy
Calibration
Cultural heritage
Cultural resources
Data analysis
Data processing
Data sources
Geometric accuracy
Photogrammetry
Sensors
Submarine pipelines
Terrestrial environments
Three dimensional models
Unmanned aerial vehicles
Video data
Workflow
title 3D MODELLING USING AERIAL OBLIQUE IMAGES WITH CLOSE RANGE UAV BASED DATA FOR SINGLE OBJECTS
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T03%3A30%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=3D%20MODELLING%20USING%20AERIAL%20OBLIQUE%20IMAGES%20WITH%20CLOSE%20RANGE%20UAV%20BASED%20DATA%20FOR%20SINGLE%20OBJECTS&rft.jtitle=International%20archives%20of%20the%20photogrammetry,%20remote%20sensing%20and%20spatial%20information%20sciences.&rft.au=Orlik,%20T.&rft.date=2021-06-28&rft.volume=XLIII-B2-2021&rft.spage=377&rft.epage=382&rft.pages=377-382&rft.issn=2194-9034&rft.eissn=2194-9034&rft_id=info:doi/10.5194/isprs-archives-XLIII-B2-2021-377-2021&rft_dat=%3Cproquest_doaj_%3E2585318758%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2891-7e886df8ed2cbd85ec402b0712b41bd963fbefd645f8d27141ed7446011be7903%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2585318758&rft_id=info:pmid/&rfr_iscdi=true