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UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations
The use of low-level photogrammetry is very broad, and studies in this field are conducted in many aspects. Most research and applications are based on image data acquired during the day, which seems natural and obvious. However, the authors of this paper draw attention to the potential and possible...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161153/ https://www.ncbi.nlm.nih.gov/pubmed/34069500 http://dx.doi.org/10.3390/s21103531 |
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author | Burdziakowski, Pawel Bobkowska, Katarzyna |
author_facet | Burdziakowski, Pawel Bobkowska, Katarzyna |
author_sort | Burdziakowski, Pawel |
collection | PubMed |
description | The use of low-level photogrammetry is very broad, and studies in this field are conducted in many aspects. Most research and applications are based on image data acquired during the day, which seems natural and obvious. However, the authors of this paper draw attention to the potential and possible use of UAV photogrammetry during the darker time of the day. The potential of night-time images has not been yet widely recognized, since correct scenery lighting or lack of scenery light sources is an obvious issue. The authors have developed typical day- and night-time photogrammetric models. They have also presented an extensive analysis of the geometry, indicated which process element had the greatest impact on degrading night-time photogrammetric product, as well as which measurable factor directly correlated with image accuracy. The reduction in geometry during night-time tests was greatly impacted by the non-uniform distribution of GCPs within the study area. The calibration of non-metric cameras is sensitive to poor lighting conditions, which leads to the generation of a higher determination error for each intrinsic orientation and distortion parameter. As evidenced, uniformly illuminated photos can be used to construct a model with lower reprojection error, and each tie point exhibits greater precision. Furthermore, they have evaluated whether commercial photogrammetric software enabled reaching acceptable image quality and whether the digital camera type impacted interpretative quality. The research paper is concluded with an extended discussion, conclusions, and recommendation on night-time studies. |
format | Online Article Text |
id | pubmed-8161153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81611532021-05-29 UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations Burdziakowski, Pawel Bobkowska, Katarzyna Sensors (Basel) Article The use of low-level photogrammetry is very broad, and studies in this field are conducted in many aspects. Most research and applications are based on image data acquired during the day, which seems natural and obvious. However, the authors of this paper draw attention to the potential and possible use of UAV photogrammetry during the darker time of the day. The potential of night-time images has not been yet widely recognized, since correct scenery lighting or lack of scenery light sources is an obvious issue. The authors have developed typical day- and night-time photogrammetric models. They have also presented an extensive analysis of the geometry, indicated which process element had the greatest impact on degrading night-time photogrammetric product, as well as which measurable factor directly correlated with image accuracy. The reduction in geometry during night-time tests was greatly impacted by the non-uniform distribution of GCPs within the study area. The calibration of non-metric cameras is sensitive to poor lighting conditions, which leads to the generation of a higher determination error for each intrinsic orientation and distortion parameter. As evidenced, uniformly illuminated photos can be used to construct a model with lower reprojection error, and each tie point exhibits greater precision. Furthermore, they have evaluated whether commercial photogrammetric software enabled reaching acceptable image quality and whether the digital camera type impacted interpretative quality. The research paper is concluded with an extended discussion, conclusions, and recommendation on night-time studies. MDPI 2021-05-19 /pmc/articles/PMC8161153/ /pubmed/34069500 http://dx.doi.org/10.3390/s21103531 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Burdziakowski, Pawel Bobkowska, Katarzyna UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations |
title | UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations |
title_full | UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations |
title_fullStr | UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations |
title_full_unstemmed | UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations |
title_short | UAV Photogrammetry under Poor Lighting Conditions—Accuracy Considerations |
title_sort | uav photogrammetry under poor lighting conditions—accuracy considerations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161153/ https://www.ncbi.nlm.nih.gov/pubmed/34069500 http://dx.doi.org/10.3390/s21103531 |
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