Abstract
Unmanned Aircraft Systems (UAS) are used in a variety of applications with the aim of mapping detailed surfaces from the air. Despite the high level of map automation achieved today, there are still challenges in the accuracy of georeferencing that can limit both the speed and the efficiency in mapping urban areas. However, the integration of topographic grade Global Navigation Satellite System (GNSS) receivers on UAS has improved this phase, leading to a reach of up to a centimeter-level accuracy. It is therefore necessary to adopt direct georeferencing (DG), real-time kinematic positioning (RTK)/post-processed kinematic (PPK) approaches in order to largely automate the photogrammetric flow. This work analyses the positional accuracy using Ground Control Points (GCP) and the repeatability and reproducibility of photogrammetric products (Digital Surface Model and ortho-mosaic) of a commercial multi-rotor system equipped with a GNSS receiver in an urban environment with a DG approach. It was demonstrated that DG is a viable solution for mapping urban areas. Indeed, PPK with at least 1 GCP considerably improves the RMSE (x: 0.039 m, y: 0.012 m, and z: 0.034 m), allowing for a reliable 1:500 scale urban mapping in less time when compared to conventional topographic surveys.
Funder
Public Investment Project GEOMÁTICA
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Subject
Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering
Reference66 articles.
1. Drones along Borders: Border Security UAVs in the United States and the European Union;Koslowski;Int. Stud. Perspect.,2018
2. Relative INS/GNSS aerial control in integrated sensor orientation: Models and performance;Colomina;ISPRS J. Photogramm. Remote Sens.,2012
3. Kerle, N., Nex, F., Gerke, M., Duarte, D., and Vetrivel, A. (2019). UAV-Based Structural Damage Mapping: A Review. ISPRS Int. J. Geo-Inf., 9.
4. Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools;Jiang;ISPRS J. Photogramm. Remote Sens.,2020
5. Grubesic, T.H., and Nelson, J.R. (2020). UAVs and Urban Spatial Analysis, Springer.
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