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Optimising UAV Data Acquisition and Processing for Photogrammetry: A Review

Autorzy
Pargieła Karolina
Treść / Zawartość
Pełne teksty:
452-Article Text-2766-1-10-20230201.pdf
Identyfikatory
DOI
10.7494/geom.2023.17.3.29
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Unmanned aerial vehicles (UAVs) are used to acquire measurement data for an increasing number of applications. Photogrammetric studies based on UAV data, thanks to the significant development of computer vision techniques, photogrammetry, and equipment miniaturization, allow sufficient accuracy for many engineering and non-engineering applications to be achieved. In addition to accuracy, development time and cost of data acquisition and processing are also important issues. The aim of this paper is to present potential limitations in the use of UAVs to acquire measurement data and to present measurement and processing techniques affecting the optimisation of work both in terms of accuracy and economy. Issues related to the type of drones used (multi-rotor, fixed-wing), type of shutter in the camera (rolling shutter, global shutter ), camera calibration method (pre-calibration, self-calibration), georeferencing method (direct, indirect), technique of measuring the external images orientation parameters (RTK, PPK, PPP), flight design methods and the type of software used were analysed.
Słowa kluczowe
EN
Wydawca
AGH University of Science and Technology Press
Czasopismo
Geomatics and Environmental Engineering
Rocznik
2023
Tom
Vol. 17, no. 3
Strony
29--59
Opis fizyczny
Bibliogr. 111 poz., rys., tab.
Twórcy
autor
Pargieła Karolina
pargiela@agh.edu.pl
  • AGH University of Science and Technology, Faculty of Geo-Data Science, Geodesy, and Environmental Engineering, Department of Photogrammetry, Remote Sensing of Environment, and Spatial Engineering, Krakow, Poland
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Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0ffd3a20-3438-4578-8b78-d1fa6457419e
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