Issue |
E3S Web Conf.
Volume 310, 2021
Annual International Scientific Conference “Spatial Data: Science, Research and Technology 2021”
|
|
---|---|---|
Article Number | 04001 | |
Number of page(s) | 10 | |
Section | Aerophotosurveying. Photogrammetrics | |
DOI | https://doi.org/10.1051/e3sconf/202131004001 | |
Published online | 15 October 2021 |
Improving Linear Projects Georeferencing to Create Digital Models Using UAV Imagery
1
Civil Engineering Department, Faculty of Engineering in Cairo, Al-Azhar University, Egypt
2
State University of Land Use Planning, Moscow, Russia
* Corresponding author: amrshesht82@gmail.com
Global Positioning System (GPS) on Unmanned Aerial Vehicles (UAV) platform relies on Micro Electro Mechanical Systems (MEMS) technology with a precision of 10 m at shooting time at UAV camera stations positions. Nonetheless, obstacles to the GPS signal at the finest flight altitude can prevent accurate camera stations positions retrieval. In this research, three different georeferencing techniques were compared with geometric precision. The first is Direct Georeferencing (DG), which mainly depends on using Navigation GPS onboard without using any Ground Control Points (GCPs). The second is Indirect Georeferencing (IG), which mainly depends on three GCPs used to assist Aero-Triangulation (AT). The third is Modified technique depends on the same three GCPs used in the second method and enhanced location of camera stations usage of the Linear Relation Model (LR Model). The study area was in the south of the Moscow Region, Russia. Threeimaging strips have been taken using the DJI PHANTOM 4 PRO UAV. The accuracy assessment was carried out using image-derived coordinates and checkpoints (CPs) residuals. This study emphasizes that the Modified methodology using enhanced camera stations positions gave better accuracy than using the drone GPS camera stations positions.
Key words: UAV / Photogrammetry / Linear projects / Direct Georeferencing / Indirect Georeferencing / Aero-Triangulation / RTK-GNSS / DSM
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.