Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles

The traditional target-dependent camera calibration method has been widely used in close-distance and small field of view scenes. However, in view of the field coordinate measurement in the large-scale monitoring area under the complex field environment, the standard target can hardly meet the requi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of sensors 2022-05, Vol.2022, p.1-7
Hauptverfasser: Zhang, Yang, Yang, Jun, Li, Guoliang, Zhao, Tianqing, Song, Xiaokai, Zhang, Suoqi, Li, Ang, Bian, Hui, Li, Jin, Zhang, Min
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 7
container_issue
container_start_page 1
container_title Journal of sensors
container_volume 2022
creator Zhang, Yang
Yang, Jun
Li, Guoliang
Zhao, Tianqing
Song, Xiaokai
Zhang, Suoqi
Li, Ang
Bian, Hui
Li, Jin
Zhang, Min
description The traditional target-dependent camera calibration method has been widely used in close-distance and small field of view scenes. However, in view of the field coordinate measurement in the large-scale monitoring area under the complex field environment, the standard target can hardly meet the requirements of covering most of the camera’s field of view. In view of the above problem, a stereo camera calibration method is studied, using the unmanned aerial vehicles (UAV) as feature points, combined with the high-precision position information measured by the real-time kinematic (RTK) positioning system it carries. The measured UAV coordinates are unified in World Geodetic System 1984 (WGS-84). Therefore, through several preset points, the measurement reference coordinate system which is the new world coordinate system we need can be established in any monitoring area, which greatly improves the flexibility of measurement. The experimental results show that the measurement accuracy of the proposed method can reach 0.5% in the monitoring area with a diameter of 100 m. The calibration method has a wide range of application and does not need the traditional standard target, and the measurement reference coordinate system can be established according to the actual needs. It is suitable for field spatial coordinate measurement in long-distance and complex terrain environment.
doi_str_mv 10.1155/2022/8573315
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2664615846</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2664615846</sourcerecordid><originalsourceid>FETCH-LOGICAL-c404t-8259a20d46e54763594330deb44b52f5318834f78774a3cb9df1b7569083df4c3</originalsourceid><addsrcrecordid>eNp90E1LwzAYwPEgCs7pzQ8Q8Kh1eU96HHW-wEARJ95C2qZbRpvMpEP27e3Y8OjpeQ4_ngf-AFxjdI8x5xOCCJkoLinF_ASMsFAyk0So07-df52Di5TWCAk6sBF4L0xno4GFaV0ZTe-Ch02IcB78MntwqTe-svBtFfqwjKbrbB93cJGcX8KF74z3toZTG51p4adduaq16RKcNaZN9uo4x2DxOPsonrP569NLMZ1nFUOszxThuSGoZsJyJgXlOaMU1bZkrOSk4RQrRVkjlZTM0KrM6waXkoscKVo3rKJjcHO4u4nhe2tTr9dhG_3wUhMhmMBcMTGou4OqYkgp2kZvoutM3GmM9L6a3lfTx2oDvz3wlfO1-XH_618ox2q9</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2664615846</pqid></control><display><type>article</type><title>Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles</title><source>Wiley-Blackwell Open Access Titles</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Zhang, Yang ; Yang, Jun ; Li, Guoliang ; Zhao, Tianqing ; Song, Xiaokai ; Zhang, Suoqi ; Li, Ang ; Bian, Hui ; Li, Jin ; Zhang, Min</creator><contributor>Xia, Min ; Min Xia</contributor><creatorcontrib>Zhang, Yang ; Yang, Jun ; Li, Guoliang ; Zhao, Tianqing ; Song, Xiaokai ; Zhang, Suoqi ; Li, Ang ; Bian, Hui ; Li, Jin ; Zhang, Min ; Xia, Min ; Min Xia</creatorcontrib><description>The traditional target-dependent camera calibration method has been widely used in close-distance and small field of view scenes. However, in view of the field coordinate measurement in the large-scale monitoring area under the complex field environment, the standard target can hardly meet the requirements of covering most of the camera’s field of view. In view of the above problem, a stereo camera calibration method is studied, using the unmanned aerial vehicles (UAV) as feature points, combined with the high-precision position information measured by the real-time kinematic (RTK) positioning system it carries. The measured UAV coordinates are unified in World Geodetic System 1984 (WGS-84). Therefore, through several preset points, the measurement reference coordinate system which is the new world coordinate system we need can be established in any monitoring area, which greatly improves the flexibility of measurement. The experimental results show that the measurement accuracy of the proposed method can reach 0.5% in the monitoring area with a diameter of 100 m. The calibration method has a wide range of application and does not need the traditional standard target, and the measurement reference coordinate system can be established according to the actual needs. It is suitable for field spatial coordinate measurement in long-distance and complex terrain environment.</description><identifier>ISSN: 1687-725X</identifier><identifier>EISSN: 1687-7268</identifier><identifier>DOI: 10.1155/2022/8573315</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Aerial photography ; Calibration ; Cameras ; Coordinates ; Diameters ; Field of view ; Global positioning systems ; GPS ; Methods ; Monitoring ; Optimization algorithms ; Photogrammetry ; Position measurement ; Unmanned aerial vehicles</subject><ispartof>Journal of sensors, 2022-05, Vol.2022, p.1-7</ispartof><rights>Copyright © 2022 Yang Zhang et al.</rights><rights>Copyright © 2022 Yang Zhang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-8259a20d46e54763594330deb44b52f5318834f78774a3cb9df1b7569083df4c3</citedby><cites>FETCH-LOGICAL-c404t-8259a20d46e54763594330deb44b52f5318834f78774a3cb9df1b7569083df4c3</cites><orcidid>0000-0002-3926-4455</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Xia, Min</contributor><contributor>Min Xia</contributor><creatorcontrib>Zhang, Yang</creatorcontrib><creatorcontrib>Yang, Jun</creatorcontrib><creatorcontrib>Li, Guoliang</creatorcontrib><creatorcontrib>Zhao, Tianqing</creatorcontrib><creatorcontrib>Song, Xiaokai</creatorcontrib><creatorcontrib>Zhang, Suoqi</creatorcontrib><creatorcontrib>Li, Ang</creatorcontrib><creatorcontrib>Bian, Hui</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Zhang, Min</creatorcontrib><title>Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles</title><title>Journal of sensors</title><description>The traditional target-dependent camera calibration method has been widely used in close-distance and small field of view scenes. However, in view of the field coordinate measurement in the large-scale monitoring area under the complex field environment, the standard target can hardly meet the requirements of covering most of the camera’s field of view. In view of the above problem, a stereo camera calibration method is studied, using the unmanned aerial vehicles (UAV) as feature points, combined with the high-precision position information measured by the real-time kinematic (RTK) positioning system it carries. The measured UAV coordinates are unified in World Geodetic System 1984 (WGS-84). Therefore, through several preset points, the measurement reference coordinate system which is the new world coordinate system we need can be established in any monitoring area, which greatly improves the flexibility of measurement. The experimental results show that the measurement accuracy of the proposed method can reach 0.5% in the monitoring area with a diameter of 100 m. The calibration method has a wide range of application and does not need the traditional standard target, and the measurement reference coordinate system can be established according to the actual needs. It is suitable for field spatial coordinate measurement in long-distance and complex terrain environment.</description><subject>Aerial photography</subject><subject>Calibration</subject><subject>Cameras</subject><subject>Coordinates</subject><subject>Diameters</subject><subject>Field of view</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Methods</subject><subject>Monitoring</subject><subject>Optimization algorithms</subject><subject>Photogrammetry</subject><subject>Position measurement</subject><subject>Unmanned aerial vehicles</subject><issn>1687-725X</issn><issn>1687-7268</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp90E1LwzAYwPEgCs7pzQ8Q8Kh1eU96HHW-wEARJ95C2qZbRpvMpEP27e3Y8OjpeQ4_ngf-AFxjdI8x5xOCCJkoLinF_ASMsFAyk0So07-df52Di5TWCAk6sBF4L0xno4GFaV0ZTe-Ch02IcB78MntwqTe-svBtFfqwjKbrbB93cJGcX8KF74z3toZTG51p4adduaq16RKcNaZN9uo4x2DxOPsonrP569NLMZ1nFUOszxThuSGoZsJyJgXlOaMU1bZkrOSk4RQrRVkjlZTM0KrM6waXkoscKVo3rKJjcHO4u4nhe2tTr9dhG_3wUhMhmMBcMTGou4OqYkgp2kZvoutM3GmM9L6a3lfTx2oDvz3wlfO1-XH_618ox2q9</recordid><startdate>20220506</startdate><enddate>20220506</enddate><creator>Zhang, Yang</creator><creator>Yang, Jun</creator><creator>Li, Guoliang</creator><creator>Zhao, Tianqing</creator><creator>Song, Xiaokai</creator><creator>Zhang, Suoqi</creator><creator>Li, Ang</creator><creator>Bian, Hui</creator><creator>Li, Jin</creator><creator>Zhang, Min</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SP</scope><scope>7U5</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KB.</scope><scope>L6V</scope><scope>L7M</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-3926-4455</orcidid></search><sort><creationdate>20220506</creationdate><title>Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles</title><author>Zhang, Yang ; Yang, Jun ; Li, Guoliang ; Zhao, Tianqing ; Song, Xiaokai ; Zhang, Suoqi ; Li, Ang ; Bian, Hui ; Li, Jin ; Zhang, Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-8259a20d46e54763594330deb44b52f5318834f78774a3cb9df1b7569083df4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aerial photography</topic><topic>Calibration</topic><topic>Cameras</topic><topic>Coordinates</topic><topic>Diameters</topic><topic>Field of view</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Methods</topic><topic>Monitoring</topic><topic>Optimization algorithms</topic><topic>Photogrammetry</topic><topic>Position measurement</topic><topic>Unmanned aerial vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Yang</creatorcontrib><creatorcontrib>Yang, Jun</creatorcontrib><creatorcontrib>Li, Guoliang</creatorcontrib><creatorcontrib>Zhao, Tianqing</creatorcontrib><creatorcontrib>Song, Xiaokai</creatorcontrib><creatorcontrib>Zhang, Suoqi</creatorcontrib><creatorcontrib>Li, Ang</creatorcontrib><creatorcontrib>Bian, Hui</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Zhang, Min</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East &amp; Africa Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Materials Science Collection</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>ProQuest Central Basic</collection><jtitle>Journal of sensors</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Yang</au><au>Yang, Jun</au><au>Li, Guoliang</au><au>Zhao, Tianqing</au><au>Song, Xiaokai</au><au>Zhang, Suoqi</au><au>Li, Ang</au><au>Bian, Hui</au><au>Li, Jin</au><au>Zhang, Min</au><au>Xia, Min</au><au>Min Xia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles</atitle><jtitle>Journal of sensors</jtitle><date>2022-05-06</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>7</epage><pages>1-7</pages><issn>1687-725X</issn><eissn>1687-7268</eissn><abstract>The traditional target-dependent camera calibration method has been widely used in close-distance and small field of view scenes. However, in view of the field coordinate measurement in the large-scale monitoring area under the complex field environment, the standard target can hardly meet the requirements of covering most of the camera’s field of view. In view of the above problem, a stereo camera calibration method is studied, using the unmanned aerial vehicles (UAV) as feature points, combined with the high-precision position information measured by the real-time kinematic (RTK) positioning system it carries. The measured UAV coordinates are unified in World Geodetic System 1984 (WGS-84). Therefore, through several preset points, the measurement reference coordinate system which is the new world coordinate system we need can be established in any monitoring area, which greatly improves the flexibility of measurement. The experimental results show that the measurement accuracy of the proposed method can reach 0.5% in the monitoring area with a diameter of 100 m. The calibration method has a wide range of application and does not need the traditional standard target, and the measurement reference coordinate system can be established according to the actual needs. It is suitable for field spatial coordinate measurement in long-distance and complex terrain environment.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2022/8573315</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-3926-4455</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1687-725X
ispartof Journal of sensors, 2022-05, Vol.2022, p.1-7
issn 1687-725X
1687-7268
language eng
recordid cdi_proquest_journals_2664615846
source Wiley-Blackwell Open Access Titles; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Aerial photography
Calibration
Cameras
Coordinates
Diameters
Field of view
Global positioning systems
GPS
Methods
Monitoring
Optimization algorithms
Photogrammetry
Position measurement
Unmanned aerial vehicles
title Camera Calibration for Long-Distance Photogrammetry Using Unmanned Aerial Vehicles
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T03%3A12%3A57IST&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=Camera%20Calibration%20for%20Long-Distance%20Photogrammetry%20Using%20Unmanned%20Aerial%20Vehicles&rft.jtitle=Journal%20of%20sensors&rft.au=Zhang,%20Yang&rft.date=2022-05-06&rft.volume=2022&rft.spage=1&rft.epage=7&rft.pages=1-7&rft.issn=1687-725X&rft.eissn=1687-7268&rft_id=info:doi/10.1155/2022/8573315&rft_dat=%3Cproquest_cross%3E2664615846%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=2664615846&rft_id=info:pmid/&rfr_iscdi=true