Loading…

An In-Depth UAS-PPK Georeferencing Analysis at Different Flight Heights for an Urban Area

Acquiring UAS images in urban environments presents a significant importance for various applications but presents challenges, particularly with flight missions and the reliability of the Global Navigation Satellite System (GNSS) signal. Georeferencing the UAS images in real-world locations is typic...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2024, Vol.12, p.196533-196552
Main Authors: Miron, Cristina-Oana, Oniga, Valeria-Ersilia, Loghin, Ana-Maria, Nistor, Sorin, Chirila, Constantin, Lazar, Anca-Alina, Macovei, Mihaela
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2041-ecff437db4e8ab7c402b5e011c47c647193d3303d56bd9d7737f0055f24f3d523
container_end_page 196552
container_issue
container_start_page 196533
container_title IEEE access
container_volume 12
creator Miron, Cristina-Oana
Oniga, Valeria-Ersilia
Loghin, Ana-Maria
Nistor, Sorin
Chirila, Constantin
Lazar, Anca-Alina
Macovei, Mihaela
description Acquiring UAS images in urban environments presents a significant importance for various applications but presents challenges, particularly with flight missions and the reliability of the Global Navigation Satellite System (GNSS) signal. Georeferencing the UAS images in real-world locations is typically done through GNSS-assisted Real-Time Kinematic (RTK)/ Post-Processing Kinematic (PPK) or indirect georeferencing methods. Due to the time-intensive nature for ground-based measurement and materialization of Ground Control Points (GCPs), the GNSS-assisted RTK/PPK method is often preferred. Nevertheless, the accuracy provided by onboard devices is highly contingent on various factors. In densely built-up areas, RTK positioning is prone to signal interruptions, signal losses, radio link outages, and multipath effects, the PPK georeferencing offers a more reliable and precise solution. The aim of this research is to perform an in-depth analysis of the PPK georeferencing results when using three different Continuously Operating Reference Station (CORS) stations and one local base station, with focus only on nadir flights. Two flights were conducted over an 8.6 ha urban area at 60 m and 100 m heights with a DJI Phantom 4 Pro v2 equipped with a TeoKIT GNSS PPK module. The accuracy of the PPK georeferencing process was assessed using 33 Check Points (ChPs) across different scenarios with varying numbers of GCPs and PPK trajectory computations derived from distinct base stations. Comparing the results at 100 m and 60 m flight heights, the best accuracy, with an RMSE of 3.7 cm for all CORS stations, was achieved at the 100 m flight height, reflecting an accuracy improvement of approximately 43% for the RS2 local base station and 75% for the CORS stations with respect to 60 m flight height. The effectiveness of our proposed workflow is demonstrated by the results obtained for the RS2 local base station at 60 m flight height, achieving the highest accuracy (9.2 cm) compared to the CORS stations in the 0 GCP scenario, with a 30%-40% improvement due to good satellite visibility and low levels of multipath and SNR interference. However, the RMS values for the 60 m flight were four times worse than the 100 m flight, primarily due to multipath effects and signal interruptions.
doi_str_mv 10.1109/ACCESS.2024.3521991
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_ee6dbe4f86654562a1f69274e7670c04</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10813365</ieee_id><doaj_id>oai_doaj_org_article_ee6dbe4f86654562a1f69274e7670c04</doaj_id><sourcerecordid>3150557540</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2041-ecff437db4e8ab7c402b5e011c47c647193d3303d56bd9d7737f0055f24f3d523</originalsourceid><addsrcrecordid>eNpNUctOwzAQjBBIoMIXwMES5xS_nRyj9EEFEkilB06W46xLqpAUOz3w97gEoe7Ba83uzMieJLkleEoIzh-Kspyv11OKKZ8yQUmek7PkihKZp0wweX5yv0xuQtjhWFmEhLpK3osOrbp0BvvhA22Kdfr6-oSW0Htw4KGzTbdFRWfa79AEZAY0a9zvYECLttl-DOgRji0g13tkOrTxVTwLD-Y6uXCmDXDz1yfJZjF_Kx_T55flqiyeU0sxJylY5zhTdcUhM5WyHNNKACbEcmUlVyRnNWOY1UJWdV4rxZTDWAhHuYsgZZNkNerWvdnpvW8-jf_WvWn0L9D7rTZ-aGwLGkDWFXCXSSm4kNQQJ3OqOCipsMU8at2PWnvffx0gDHrXH3x8ftCMiOiqBMdxi41b1vchxJ_6dyVYHyPRYyT6GIn-iySy7kZWAwAnjIwwJgX7Ae_2hGw</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3150557540</pqid></control><display><type>article</type><title>An In-Depth UAS-PPK Georeferencing Analysis at Different Flight Heights for an Urban Area</title><source>IEEE Xplore Open Access Journals</source><creator>Miron, Cristina-Oana ; Oniga, Valeria-Ersilia ; Loghin, Ana-Maria ; Nistor, Sorin ; Chirila, Constantin ; Lazar, Anca-Alina ; Macovei, Mihaela</creator><creatorcontrib>Miron, Cristina-Oana ; Oniga, Valeria-Ersilia ; Loghin, Ana-Maria ; Nistor, Sorin ; Chirila, Constantin ; Lazar, Anca-Alina ; Macovei, Mihaela</creatorcontrib><description>Acquiring UAS images in urban environments presents a significant importance for various applications but presents challenges, particularly with flight missions and the reliability of the Global Navigation Satellite System (GNSS) signal. Georeferencing the UAS images in real-world locations is typically done through GNSS-assisted Real-Time Kinematic (RTK)/ Post-Processing Kinematic (PPK) or indirect georeferencing methods. Due to the time-intensive nature for ground-based measurement and materialization of Ground Control Points (GCPs), the GNSS-assisted RTK/PPK method is often preferred. Nevertheless, the accuracy provided by onboard devices is highly contingent on various factors. In densely built-up areas, RTK positioning is prone to signal interruptions, signal losses, radio link outages, and multipath effects, the PPK georeferencing offers a more reliable and precise solution. The aim of this research is to perform an in-depth analysis of the PPK georeferencing results when using three different Continuously Operating Reference Station (CORS) stations and one local base station, with focus only on nadir flights. Two flights were conducted over an 8.6 ha urban area at 60 m and 100 m heights with a DJI Phantom 4 Pro v2 equipped with a TeoKIT GNSS PPK module. The accuracy of the PPK georeferencing process was assessed using 33 Check Points (ChPs) across different scenarios with varying numbers of GCPs and PPK trajectory computations derived from distinct base stations. Comparing the results at 100 m and 60 m flight heights, the best accuracy, with an RMSE of 3.7 cm for all CORS stations, was achieved at the 100 m flight height, reflecting an accuracy improvement of approximately 43% for the RS2 local base station and 75% for the CORS stations with respect to 60 m flight height. The effectiveness of our proposed workflow is demonstrated by the results obtained for the RS2 local base station at 60 m flight height, achieving the highest accuracy (9.2 cm) compared to the CORS stations in the 0 GCP scenario, with a 30%-40% improvement due to good satellite visibility and low levels of multipath and SNR interference. However, the RMS values for the 60 m flight were four times worse than the 100 m flight, primarily due to multipath effects and signal interruptions.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2024.3521991</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Accuracy ; Base stations ; Cameras ; CORS ; Flight ; Geographic information systems ; Global navigation satellite system ; Image acquisition ; Kinematics ; multipath ; PPK ; Radio equipment ; Radio signals ; Receivers ; Satellite broadcasting ; Satellite imagery ; Satellites ; Signal to noise ratio ; TeoKIT ; Time measurement ; Trajectory ; UAS ; Urban areas ; Urban environments ; Workflow</subject><ispartof>IEEE access, 2024, Vol.12, p.196533-196552</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2041-ecff437db4e8ab7c402b5e011c47c647193d3303d56bd9d7737f0055f24f3d523</cites><orcidid>0000-0001-8630-0087 ; 0009-0002-9739-4589 ; 0000-0001-5433-2201 ; 0009-0004-5637-8018 ; 0000-0001-8995-289X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10813365$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,4009,27612,27902,27903,27904,54912</link.rule.ids></links><search><creatorcontrib>Miron, Cristina-Oana</creatorcontrib><creatorcontrib>Oniga, Valeria-Ersilia</creatorcontrib><creatorcontrib>Loghin, Ana-Maria</creatorcontrib><creatorcontrib>Nistor, Sorin</creatorcontrib><creatorcontrib>Chirila, Constantin</creatorcontrib><creatorcontrib>Lazar, Anca-Alina</creatorcontrib><creatorcontrib>Macovei, Mihaela</creatorcontrib><title>An In-Depth UAS-PPK Georeferencing Analysis at Different Flight Heights for an Urban Area</title><title>IEEE access</title><addtitle>Access</addtitle><description>Acquiring UAS images in urban environments presents a significant importance for various applications but presents challenges, particularly with flight missions and the reliability of the Global Navigation Satellite System (GNSS) signal. Georeferencing the UAS images in real-world locations is typically done through GNSS-assisted Real-Time Kinematic (RTK)/ Post-Processing Kinematic (PPK) or indirect georeferencing methods. Due to the time-intensive nature for ground-based measurement and materialization of Ground Control Points (GCPs), the GNSS-assisted RTK/PPK method is often preferred. Nevertheless, the accuracy provided by onboard devices is highly contingent on various factors. In densely built-up areas, RTK positioning is prone to signal interruptions, signal losses, radio link outages, and multipath effects, the PPK georeferencing offers a more reliable and precise solution. The aim of this research is to perform an in-depth analysis of the PPK georeferencing results when using three different Continuously Operating Reference Station (CORS) stations and one local base station, with focus only on nadir flights. Two flights were conducted over an 8.6 ha urban area at 60 m and 100 m heights with a DJI Phantom 4 Pro v2 equipped with a TeoKIT GNSS PPK module. The accuracy of the PPK georeferencing process was assessed using 33 Check Points (ChPs) across different scenarios with varying numbers of GCPs and PPK trajectory computations derived from distinct base stations. Comparing the results at 100 m and 60 m flight heights, the best accuracy, with an RMSE of 3.7 cm for all CORS stations, was achieved at the 100 m flight height, reflecting an accuracy improvement of approximately 43% for the RS2 local base station and 75% for the CORS stations with respect to 60 m flight height. The effectiveness of our proposed workflow is demonstrated by the results obtained for the RS2 local base station at 60 m flight height, achieving the highest accuracy (9.2 cm) compared to the CORS stations in the 0 GCP scenario, with a 30%-40% improvement due to good satellite visibility and low levels of multipath and SNR interference. However, the RMS values for the 60 m flight were four times worse than the 100 m flight, primarily due to multipath effects and signal interruptions.</description><subject>Accuracy</subject><subject>Base stations</subject><subject>Cameras</subject><subject>CORS</subject><subject>Flight</subject><subject>Geographic information systems</subject><subject>Global navigation satellite system</subject><subject>Image acquisition</subject><subject>Kinematics</subject><subject>multipath</subject><subject>PPK</subject><subject>Radio equipment</subject><subject>Radio signals</subject><subject>Receivers</subject><subject>Satellite broadcasting</subject><subject>Satellite imagery</subject><subject>Satellites</subject><subject>Signal to noise ratio</subject><subject>TeoKIT</subject><subject>Time measurement</subject><subject>Trajectory</subject><subject>UAS</subject><subject>Urban areas</subject><subject>Urban environments</subject><subject>Workflow</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>DOA</sourceid><recordid>eNpNUctOwzAQjBBIoMIXwMES5xS_nRyj9EEFEkilB06W46xLqpAUOz3w97gEoe7Ba83uzMieJLkleEoIzh-Kspyv11OKKZ8yQUmek7PkihKZp0wweX5yv0xuQtjhWFmEhLpK3osOrbp0BvvhA22Kdfr6-oSW0Htw4KGzTbdFRWfa79AEZAY0a9zvYECLttl-DOgRji0g13tkOrTxVTwLD-Y6uXCmDXDz1yfJZjF_Kx_T55flqiyeU0sxJylY5zhTdcUhM5WyHNNKACbEcmUlVyRnNWOY1UJWdV4rxZTDWAhHuYsgZZNkNerWvdnpvW8-jf_WvWn0L9D7rTZ-aGwLGkDWFXCXSSm4kNQQJ3OqOCipsMU8at2PWnvffx0gDHrXH3x8ftCMiOiqBMdxi41b1vchxJ_6dyVYHyPRYyT6GIn-iySy7kZWAwAnjIwwJgX7Ae_2hGw</recordid><startdate>2024</startdate><enddate>2024</enddate><creator>Miron, Cristina-Oana</creator><creator>Oniga, Valeria-Ersilia</creator><creator>Loghin, Ana-Maria</creator><creator>Nistor, Sorin</creator><creator>Chirila, Constantin</creator><creator>Lazar, Anca-Alina</creator><creator>Macovei, Mihaela</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8630-0087</orcidid><orcidid>https://orcid.org/0009-0002-9739-4589</orcidid><orcidid>https://orcid.org/0000-0001-5433-2201</orcidid><orcidid>https://orcid.org/0009-0004-5637-8018</orcidid><orcidid>https://orcid.org/0000-0001-8995-289X</orcidid></search><sort><creationdate>2024</creationdate><title>An In-Depth UAS-PPK Georeferencing Analysis at Different Flight Heights for an Urban Area</title><author>Miron, Cristina-Oana ; Oniga, Valeria-Ersilia ; Loghin, Ana-Maria ; Nistor, Sorin ; Chirila, Constantin ; Lazar, Anca-Alina ; Macovei, Mihaela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2041-ecff437db4e8ab7c402b5e011c47c647193d3303d56bd9d7737f0055f24f3d523</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Base stations</topic><topic>Cameras</topic><topic>CORS</topic><topic>Flight</topic><topic>Geographic information systems</topic><topic>Global navigation satellite system</topic><topic>Image acquisition</topic><topic>Kinematics</topic><topic>multipath</topic><topic>PPK</topic><topic>Radio equipment</topic><topic>Radio signals</topic><topic>Receivers</topic><topic>Satellite broadcasting</topic><topic>Satellite imagery</topic><topic>Satellites</topic><topic>Signal to noise ratio</topic><topic>TeoKIT</topic><topic>Time measurement</topic><topic>Trajectory</topic><topic>UAS</topic><topic>Urban areas</topic><topic>Urban environments</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miron, Cristina-Oana</creatorcontrib><creatorcontrib>Oniga, Valeria-Ersilia</creatorcontrib><creatorcontrib>Loghin, Ana-Maria</creatorcontrib><creatorcontrib>Nistor, Sorin</creatorcontrib><creatorcontrib>Chirila, Constantin</creatorcontrib><creatorcontrib>Lazar, Anca-Alina</creatorcontrib><creatorcontrib>Macovei, Mihaela</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Xplore Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miron, Cristina-Oana</au><au>Oniga, Valeria-Ersilia</au><au>Loghin, Ana-Maria</au><au>Nistor, Sorin</au><au>Chirila, Constantin</au><au>Lazar, Anca-Alina</au><au>Macovei, Mihaela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An In-Depth UAS-PPK Georeferencing Analysis at Different Flight Heights for an Urban Area</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2024</date><risdate>2024</risdate><volume>12</volume><spage>196533</spage><epage>196552</epage><pages>196533-196552</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Acquiring UAS images in urban environments presents a significant importance for various applications but presents challenges, particularly with flight missions and the reliability of the Global Navigation Satellite System (GNSS) signal. Georeferencing the UAS images in real-world locations is typically done through GNSS-assisted Real-Time Kinematic (RTK)/ Post-Processing Kinematic (PPK) or indirect georeferencing methods. Due to the time-intensive nature for ground-based measurement and materialization of Ground Control Points (GCPs), the GNSS-assisted RTK/PPK method is often preferred. Nevertheless, the accuracy provided by onboard devices is highly contingent on various factors. In densely built-up areas, RTK positioning is prone to signal interruptions, signal losses, radio link outages, and multipath effects, the PPK georeferencing offers a more reliable and precise solution. The aim of this research is to perform an in-depth analysis of the PPK georeferencing results when using three different Continuously Operating Reference Station (CORS) stations and one local base station, with focus only on nadir flights. Two flights were conducted over an 8.6 ha urban area at 60 m and 100 m heights with a DJI Phantom 4 Pro v2 equipped with a TeoKIT GNSS PPK module. The accuracy of the PPK georeferencing process was assessed using 33 Check Points (ChPs) across different scenarios with varying numbers of GCPs and PPK trajectory computations derived from distinct base stations. Comparing the results at 100 m and 60 m flight heights, the best accuracy, with an RMSE of 3.7 cm for all CORS stations, was achieved at the 100 m flight height, reflecting an accuracy improvement of approximately 43% for the RS2 local base station and 75% for the CORS stations with respect to 60 m flight height. The effectiveness of our proposed workflow is demonstrated by the results obtained for the RS2 local base station at 60 m flight height, achieving the highest accuracy (9.2 cm) compared to the CORS stations in the 0 GCP scenario, with a 30%-40% improvement due to good satellite visibility and low levels of multipath and SNR interference. However, the RMS values for the 60 m flight were four times worse than the 100 m flight, primarily due to multipath effects and signal interruptions.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2024.3521991</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0001-8630-0087</orcidid><orcidid>https://orcid.org/0009-0002-9739-4589</orcidid><orcidid>https://orcid.org/0000-0001-5433-2201</orcidid><orcidid>https://orcid.org/0009-0004-5637-8018</orcidid><orcidid>https://orcid.org/0000-0001-8995-289X</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2169-3536
ispartof IEEE access, 2024, Vol.12, p.196533-196552
issn 2169-3536
2169-3536
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_ee6dbe4f86654562a1f69274e7670c04
source IEEE Xplore Open Access Journals
subjects Accuracy
Base stations
Cameras
CORS
Flight
Geographic information systems
Global navigation satellite system
Image acquisition
Kinematics
multipath
PPK
Radio equipment
Radio signals
Receivers
Satellite broadcasting
Satellite imagery
Satellites
Signal to noise ratio
TeoKIT
Time measurement
Trajectory
UAS
Urban areas
Urban environments
Workflow
title An In-Depth UAS-PPK Georeferencing Analysis at Different Flight Heights for an Urban Area
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T20%3A35%3A04IST&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=An%20In-Depth%20UAS-PPK%20Georeferencing%20Analysis%20at%20Different%20Flight%20Heights%20for%20an%20Urban%20Area&rft.jtitle=IEEE%20access&rft.au=Miron,%20Cristina-Oana&rft.date=2024&rft.volume=12&rft.spage=196533&rft.epage=196552&rft.pages=196533-196552&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2024.3521991&rft_dat=%3Cproquest_doaj_%3E3150557540%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2041-ecff437db4e8ab7c402b5e011c47c647193d3303d56bd9d7737f0055f24f3d523%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3150557540&rft_id=info:pmid/&rft_ieee_id=10813365&rfr_iscdi=true