Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection
In unmanned aerial vehicle (UAV) photogrammetry, the qualities of three-dimensional (3D) models, including ground sample distance (GSD) and shaded areas, are strongly affected by flight planning. However, during flight planning, the quality of the output cannot be estimated, as it depends on the exp...
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MDPI AG
2022-04-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/12/9/4454 |
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author | Jisung Kim Jaekoo Kim Kyeongmi Jeon Joonmin Lee Jaejoon Lee |
author_facet | Jisung Kim Jaekoo Kim Kyeongmi Jeon Joonmin Lee Jaejoon Lee |
author_sort | Jisung Kim |
collection | DOAJ |
description | In unmanned aerial vehicle (UAV) photogrammetry, the qualities of three-dimensional (3D) models, including ground sample distance (GSD) and shaded areas, are strongly affected by flight planning. However, during flight planning, the quality of the output cannot be estimated, as it depends on the experience of the operator. Therefore, to reduce the time and cost incurred by repetitive work required to obtain satisfactory quality, a simulator, which can automatically generate a route, acquire images through simulation, and analyze the shaded areas without real flight, has been required. While some simulators have been developed, there are some limitations. Furthermore, evaluating the performance of the simulator is difficult owing to the lack of a validation method. Therefore, to overcome the limitations, target functions, which can plan flights and can detect shaded areas, were set, developed, and validated in this study. As a result, a simulator successfully planned a flight and detected shaded areas. In this way, the simulator was validated to determine the applicability of its performance. Furthermore, the outputs of this study can be applied to not only UAV photogrammetry simulators but also other 3D modeling simulators. |
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id | doaj.art-a50f33f78d1f4b38b991dcf7fb875b6d |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T04:21:10Z |
publishDate | 2022-04-01 |
publisher | MDPI AG |
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series | Applied Sciences |
spelling | doaj.art-a50f33f78d1f4b38b991dcf7fb875b6d2023-11-23T07:49:16ZengMDPI AGApplied Sciences2076-34172022-04-01129445410.3390/app12094454Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area DetectionJisung Kim0Jaekoo Kim1Kyeongmi Jeon2Joonmin Lee3Jaejoon Lee4Department of Civil and Environmental Engineering, Sungkyunkwan University, Suwon 16419, KoreaInstitute of Geographic & Environmental Technology, GEOMEXSOFT Co., Ltd., Chunchoen 24461, KoreaInstitute of Geographic & Environmental Technology, GEOMEXSOFT Co., Ltd., Chunchoen 24461, KoreaInstitute of Geographic & Environmental Technology, GEOMEXSOFT Co., Ltd., Chunchoen 24461, KoreaInterdisciplinary Program in Crisis, Disaster and Risk Management, Sungkyunkwan University, Suwon 16419, KoreaIn unmanned aerial vehicle (UAV) photogrammetry, the qualities of three-dimensional (3D) models, including ground sample distance (GSD) and shaded areas, are strongly affected by flight planning. However, during flight planning, the quality of the output cannot be estimated, as it depends on the experience of the operator. Therefore, to reduce the time and cost incurred by repetitive work required to obtain satisfactory quality, a simulator, which can automatically generate a route, acquire images through simulation, and analyze the shaded areas without real flight, has been required. While some simulators have been developed, there are some limitations. Furthermore, evaluating the performance of the simulator is difficult owing to the lack of a validation method. Therefore, to overcome the limitations, target functions, which can plan flights and can detect shaded areas, were set, developed, and validated in this study. As a result, a simulator successfully planned a flight and detected shaded areas. In this way, the simulator was validated to determine the applicability of its performance. Furthermore, the outputs of this study can be applied to not only UAV photogrammetry simulators but also other 3D modeling simulators.https://www.mdpi.com/2076-3417/12/9/4454shaded areasimulator validationUAV 3D modelingUAV photogrammetryUAV simulator |
spellingShingle | Jisung Kim Jaekoo Kim Kyeongmi Jeon Joonmin Lee Jaejoon Lee Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection Applied Sciences shaded area simulator validation UAV 3D modeling UAV photogrammetry UAV simulator |
title | Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection |
title_full | Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection |
title_fullStr | Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection |
title_full_unstemmed | Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection |
title_short | Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection |
title_sort | development and validation of unmanned aerial vehicle photogrammetry simulator for shaded area detection |
topic | shaded area simulator validation UAV 3D modeling UAV photogrammetry UAV simulator |
url | https://www.mdpi.com/2076-3417/12/9/4454 |
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