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A SYSTEMATIC COMPARISON OF DIRECT AND IMAGE-BASED GEOREFERENCING IN CHALLENGING URBAN AREAS
| Content Provider | Scilit |
|---|---|
| Author | Cavegn, S. Nebiker, S. Haala, N. |
| Copyright Year | 2016 |
| Description | Image-based mobile mapping systems enable an efficient acquisition of georeferenced image sequences, which can be used for geo-data capture in subsequent steps. In order to provide accurate measurements in a given reference frame while e.g. aiming at high fidelity 3D urban models, high quality georeferencing of the captured multi-view image sequences is required. Moreover, sub-pixel accurate orientations of these highly redundant image sequences are needed in order to optimally perform steps like dense multi-image matching as a prerequisite for 3D point cloud and mesh generation. While direct georeferencing of image-based mobile mapping data performs well in open areas, poor GNSS coverage in urban canyons aggravates fulfilling these high accuracy requirements, even with high-grade inertial navigation equipment. Hence, we conducted comprehensive investigations aiming at assessing the quality of directly georeferenced sensor orientations as well as the expected improvement by image-based georeferencing in a challenging urban environment. Our study repeatedly delivered mean trajectory deviations of up to 80 cm. By performing image-based georeferencing using bundle adjustment for a limited set of cameras and a limited number of ground control points, mean check point residuals could be lowered from approx. 40 cm to 4 cm. Furthermore, we showed that largely automated image-based georeferencing is capable of detecting and compensating discontinuities in directly georeferenced trajectories. |
| Ending Page | 536 |
| Page Count | 8 |
| Starting Page | 529 |
| e-ISSN | 21949034 |
| DOI | 10.5194/isprs-archives-xli-b1-529-2016 |
| Alternate Webpage(s) | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/529/2016/isprs-archives-XLI-B1-529-2016.pdf |
| Journal | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Volume Number | XLI-B1 |
| Language | English |
| Publisher | Copernicus GmbH |
| Publisher Date | 2016-06-03 |
| Access Restriction | Open |
| Subject Keyword | Cybernetical Science Georeferencing in a Challenging Based Georeferencing IN Challenging Georeferencing IN Challenging Urban Georeferenced Image Directly Georeferenced Based Mobile Mapping |
| Content Type | Text |
| Resource Type | Article |
