Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera
In UAV (unmanned aerial vehicle) oblique photogrammetry, the occlusion of ground objects, particularly at their base, often results in low-quality real-scene 3D models. To address this issue, we propose a method to enhance model quality by integrating ground-based camera images. This innovative imag...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/21/3933 |
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| author | Jinghai Xu Suya Zhang Haoran Jing Craig Hancock Peng Qiao Nan Shen Karen B. Blay |
| author_facet | Jinghai Xu Suya Zhang Haoran Jing Craig Hancock Peng Qiao Nan Shen Karen B. Blay |
| author_sort | Jinghai Xu |
| collection | DOAJ |
| description | In UAV (unmanned aerial vehicle) oblique photogrammetry, the occlusion of ground objects, particularly at their base, often results in low-quality real-scene 3D models. To address this issue, we propose a method to enhance model quality by integrating ground-based camera images. This innovative image acquisition method allows the rephotographing of areas in the 3D model that exhibit poor quality. Three critical parameters for reshooting are the reshooting distance and the front- and side-overlap ratios of reshooting images. The proposed method for improving 3D model quality focuses on point accuracy, dimensional accuracy, texture details, and the triangular mesh structure. Validated by a case study involving a complex building, this method demonstrates that integrating ground camera photos significantly improves the overall quality of the 3D model. The findings show that optimal settings for reshooting include a distance (in meter units) of 1.5–1.6 times the camera’s focal length (in millimeter units), a front overlap ratio of 30%, and a side overlap ratio of 20%. Furthermore, we conclude that an overlap rate of 20–30% in reshooting is a usable value. |
| format | Article |
| id | doaj-art-ab26d1698fdc4e12a92fcbd553c80cdb |
| institution | DOAJ |
| issn | 2072-4292 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-ab26d1698fdc4e12a92fcbd553c80cdb2025-08-20T02:49:56ZengMDPI AGRemote Sensing2072-42922024-10-011621393310.3390/rs16213933Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground CameraJinghai Xu0Suya Zhang1Haoran Jing2Craig Hancock3Peng Qiao4Nan Shen5Karen B. Blay6School of Geomatics Science and Technology, Nanjing Tech University, 30 South Puzhu Road, Nanjing 211899, ChinaSchool of Geomatics Science and Technology, Nanjing Tech University, 30 South Puzhu Road, Nanjing 211899, ChinaSchool of Geomatics Science and Technology, Nanjing Tech University, 30 South Puzhu Road, Nanjing 211899, ChinaSchool of Architecture, Building and Civil Engineering, Loughborough University, Sir Frank Gibb Building, Loughborough, Leics LE11 3TU, UKScience and Technology Development Center, Jiangsu Provincial Department of Housing and Urban-Rural Development, 287 North Jiangdong Road, Nanjing 210036, ChinaSchool of Geomatics Science and Technology, Nanjing Tech University, 30 South Puzhu Road, Nanjing 211899, ChinaSchool of Architecture, Building and Civil Engineering, Loughborough University, Sir Frank Gibb Building, Loughborough, Leics LE11 3TU, UKIn UAV (unmanned aerial vehicle) oblique photogrammetry, the occlusion of ground objects, particularly at their base, often results in low-quality real-scene 3D models. To address this issue, we propose a method to enhance model quality by integrating ground-based camera images. This innovative image acquisition method allows the rephotographing of areas in the 3D model that exhibit poor quality. Three critical parameters for reshooting are the reshooting distance and the front- and side-overlap ratios of reshooting images. The proposed method for improving 3D model quality focuses on point accuracy, dimensional accuracy, texture details, and the triangular mesh structure. Validated by a case study involving a complex building, this method demonstrates that integrating ground camera photos significantly improves the overall quality of the 3D model. The findings show that optimal settings for reshooting include a distance (in meter units) of 1.5–1.6 times the camera’s focal length (in millimeter units), a front overlap ratio of 30%, and a side overlap ratio of 20%. Furthermore, we conclude that an overlap rate of 20–30% in reshooting is a usable value.https://www.mdpi.com/2072-4292/16/21/3933oblique photogrammetryground camerareshooting parametersreal-scene 3D modelingquality assessment |
| spellingShingle | Jinghai Xu Suya Zhang Haoran Jing Craig Hancock Peng Qiao Nan Shen Karen B. Blay Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera Remote Sensing oblique photogrammetry ground camera reshooting parameters real-scene 3D modeling quality assessment |
| title | Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera |
| title_full | Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera |
| title_fullStr | Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera |
| title_full_unstemmed | Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera |
| title_short | Improving Real-Scene 3D Model Quality of Unmanned Aerial Vehicle Oblique-Photogrammetry with a Ground Camera |
| title_sort | improving real scene 3d model quality of unmanned aerial vehicle oblique photogrammetry with a ground camera |
| topic | oblique photogrammetry ground camera reshooting parameters real-scene 3D modeling quality assessment |
| url | https://www.mdpi.com/2072-4292/16/21/3933 |
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