QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY
Recent developments in UAV technology and structure from motion techniques have effected that UAVs are becoming standard platforms for 3D data collection. Because of their flexibility and ability to reach inaccessible urban parts, drones appear as optimal solution for urban applications. Building...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1121/2016/isprs-archives-XLI-B1-1121-2016.pdf |
| _version_ | 1811268570080870400 |
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| author | M. Jarzabek-Rychard M. Karpina |
| author_facet | M. Jarzabek-Rychard M. Karpina |
| author_sort | M. Jarzabek-Rychard |
| collection | DOAJ |
| description | Recent developments in UAV technology and structure from motion techniques have effected that UAVs are becoming standard
platforms for 3D data collection. Because of their flexibility and ability to reach inaccessible urban parts, drones appear as optimal
solution for urban applications. Building reconstruction from the data collected with UAV has the important potential to reduce
labour cost for fast update of already reconstructed 3D cities. However, especially for updating of existing scenes derived from
different sensors (e.g. airborne laser scanning), a proper quality assessment is necessary. The objective of this paper is thus to
evaluate the potential of UAV imagery as an information source for automatic 3D building modeling at LOD2. The investigation
process is conducted threefold: (1) comparing generated SfM point cloud to ALS data; (2) computing internal consistency measures
of the reconstruction process; (3) analysing the deviation of Check Points identified on building roofs and measured with a
tacheometer. In order to gain deep insight in the modeling performance, various quality indicators are computed and analysed. The
assessment performed according to the ground truth shows that the building models acquired with UAV-photogrammetry have the
accuracy of less than 18 cm for the plannimetric position and about 15 cm for the height component. |
| first_indexed | 2024-04-12T21:24:42Z |
| format | Article |
| id | doaj.art-7bd79ffffff04319b6a410f095d7c333 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-12T21:24:42Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-7bd79ffffff04319b6a410f095d7c3332022-12-22T03:16:12ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B11121112610.5194/isprs-archives-XLI-B1-1121-2016QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERYM. Jarzabek-Rychard0M. Karpina1Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Science, PolandInstitute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Science, PolandRecent developments in UAV technology and structure from motion techniques have effected that UAVs are becoming standard platforms for 3D data collection. Because of their flexibility and ability to reach inaccessible urban parts, drones appear as optimal solution for urban applications. Building reconstruction from the data collected with UAV has the important potential to reduce labour cost for fast update of already reconstructed 3D cities. However, especially for updating of existing scenes derived from different sensors (e.g. airborne laser scanning), a proper quality assessment is necessary. The objective of this paper is thus to evaluate the potential of UAV imagery as an information source for automatic 3D building modeling at LOD2. The investigation process is conducted threefold: (1) comparing generated SfM point cloud to ALS data; (2) computing internal consistency measures of the reconstruction process; (3) analysing the deviation of Check Points identified on building roofs and measured with a tacheometer. In order to gain deep insight in the modeling performance, various quality indicators are computed and analysed. The assessment performed according to the ground truth shows that the building models acquired with UAV-photogrammetry have the accuracy of less than 18 cm for the plannimetric position and about 15 cm for the height component.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1121/2016/isprs-archives-XLI-B1-1121-2016.pdf |
| spellingShingle | M. Jarzabek-Rychard M. Karpina QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY |
| title_full | QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY |
| title_fullStr | QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY |
| title_full_unstemmed | QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY |
| title_short | QUALITY ANALYSIS ON 3D BUIDLING MODELS RECONSTRUCTED FROM UAV IMAGERY |
| title_sort | quality analysis on 3d buidling models reconstructed from uav imagery |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1121/2016/isprs-archives-XLI-B1-1121-2016.pdf |
| work_keys_str_mv | AT mjarzabekrychard qualityanalysison3dbuidlingmodelsreconstructedfromuavimagery AT mkarpina qualityanalysison3dbuidlingmodelsreconstructedfromuavimagery |