ACCURACY ASSESSMENT OF A COMPLEX BUILDING 3D MODEL RECONSTRUCTED FROM IMAGES ACQUIRED WITH A LOW-COST UAS
Nowadays, Unmanned Aerial Systems (UASs) are a wide used technique for acquisition in order to create buildings 3D models, providing the acquisition of a high number of images at very high resolution or video sequences, in a very short time. Since low-cost UASs are preferred, the accuracy of a build...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-02-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W3/551/2017/isprs-archives-XLII-2-W3-551-2017.pdf |
| Summary: | Nowadays, Unmanned Aerial Systems (UASs) are a wide used technique for acquisition in order to create buildings 3D models,
providing the acquisition of a high number of images at very high resolution or video sequences, in a very short time. Since low-cost
UASs are preferred, the accuracy of a building 3D model created using this platforms must be evaluated. To achieve results, the
dean's office building from the Faculty of “Hydrotechnical Engineering, Geodesy and Environmental Engineering” of Iasi, Romania,
has been chosen, which is a complex shape building with the roof formed of two hyperbolic paraboloids. Seven points were placed
on the ground around the building, three of them being used as GCPs, while the remaining four as Check points (CPs) for accuracy
assessment. Additionally, the coordinates of 10 natural CPs representing the building characteristic points were measured with a
Leica TCR 405 total station. The building 3D model was created as a point cloud which was automatically generated based on digital
images acquired with the low-cost UASs, using the image matching algorithm and different software like 3DF Zephyr, Visual SfM,
PhotoModeler Scanner and Drone2Map for ArcGIS. Except for the PhotoModeler Scanner software, the interior and exterior
orientation parameters were determined simultaneously by solving a self-calibrating bundle adjustment. Based on the UAS point
clouds, automatically generated by using the above mentioned software and GNSS data respectively, the parameters of the east side
hyperbolic paraboloid were calculated using the least squares method and a statistical blunder detection. Then, in order to assess the
accuracy of the building 3D model, several comparisons were made for the facades and the roof with reference data, considered with
minimum errors: TLS mesh for the facades and GNSS mesh for the roof. Finally, the front facade of the building was created in 3D
based on its characteristic points using the PhotoModeler Scanner software, resulting a CAD (Computer Aided Design) model. The
results showed the high potential of using low-cost UASs for building 3D model creation and if the building 3D model is created
based on its characteristic points the accuracy is significantly improved. |
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| ISSN: | 1682-1750 2194-9034 |