An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry
Owing to the rapid development of unmanned aerial vehicle (UAV) technology and various photogrammetric software, UAV photogrammetry projects are becoming increasingly automated. However, marking ground control points (GCPs) in current UAV surveys still generally needs to be manually completed, which...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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IEEE
2023-01-01
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Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9963568/ |
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author | Linghao Kong Ting Chen Taibo Kang Qing Chen Di Zhang |
author_facet | Linghao Kong Ting Chen Taibo Kang Qing Chen Di Zhang |
author_sort | Linghao Kong |
collection | DOAJ |
description | Owing to the rapid development of unmanned aerial vehicle (UAV) technology and various photogrammetric software, UAV photogrammetry projects are becoming increasingly automated. However, marking ground control points (GCPs) in current UAV surveys still generally needs to be manually completed, which brings the problem of inefficiency and human error. Based on the characteristics of UAV photogrammetry, a novel type of circular coded target with its identification and decoding algorithm is proposed to realize an automatic and accurate approach for marking GCPs. UAV survey experiments validate the feasibility of the proposed method, which has comparative advantages in efficiency, robustness, and accuracy over traditional targets. Additionally, we conducted experiments to discuss the effects of projection size and viewing angle, number of coded bits, and environmental conditions on the proposed method. The results show that it can achieve robust identification and accurate positioning even under challenging conditions, and a smaller number of coded bits is recommended for better robustness. |
first_indexed | 2024-04-13T06:54:03Z |
format | Article |
id | doaj.art-718ada00b764424d9582c434358a858c |
institution | Directory Open Access Journal |
issn | 2151-1535 |
language | English |
last_indexed | 2024-04-13T06:54:03Z |
publishDate | 2023-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
spelling | doaj.art-718ada00b764424d9582c434358a858c2022-12-22T02:57:18ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-011627829010.1109/JSTARS.2022.32245439963568An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle PhotogrammetryLinghao Kong0https://orcid.org/0000-0002-6061-7251Ting Chen1https://orcid.org/0000-0003-0838-5577Taibo Kang2Qing Chen3Di Zhang4School of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaSchool of Geodesy and Geomatics, Wuhan University, Wuhan, ChinaOwing to the rapid development of unmanned aerial vehicle (UAV) technology and various photogrammetric software, UAV photogrammetry projects are becoming increasingly automated. However, marking ground control points (GCPs) in current UAV surveys still generally needs to be manually completed, which brings the problem of inefficiency and human error. Based on the characteristics of UAV photogrammetry, a novel type of circular coded target with its identification and decoding algorithm is proposed to realize an automatic and accurate approach for marking GCPs. UAV survey experiments validate the feasibility of the proposed method, which has comparative advantages in efficiency, robustness, and accuracy over traditional targets. Additionally, we conducted experiments to discuss the effects of projection size and viewing angle, number of coded bits, and environmental conditions on the proposed method. The results show that it can achieve robust identification and accurate positioning even under challenging conditions, and a smaller number of coded bits is recommended for better robustness.https://ieeexplore.ieee.org/document/9963568/Aerial surveyautomationcoded targetmarking ground control points (GCPs)pinpointunmanned aerial vehicle (UAV) |
spellingShingle | Linghao Kong Ting Chen Taibo Kang Qing Chen Di Zhang An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Aerial survey automation coded target marking ground control points (GCPs) pinpoint unmanned aerial vehicle (UAV) |
title | An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry |
title_full | An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry |
title_fullStr | An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry |
title_full_unstemmed | An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry |
title_short | An Automatic and Accurate Method for Marking Ground Control Points in Unmanned Aerial Vehicle Photogrammetry |
title_sort | automatic and accurate method for marking ground control points in unmanned aerial vehicle photogrammetry |
topic | Aerial survey automation coded target marking ground control points (GCPs) pinpoint unmanned aerial vehicle (UAV) |
url | https://ieeexplore.ieee.org/document/9963568/ |
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