Abstract

The aim of this study was to assess the quality of images from different UAV sensors in terms of their optical resolution, expressed by the MTF10 parameter. The study was conducted for four cameras: Mavic 3E, Matrice 4E, Phantom 4 RTK and Zenmuse P1, under different weather and lighting conditions, with varying flight altitudes and ISO settings. The Siemens Star pattern and ResolvingPower software provided by The German Aerospace Center (DLR) were used in the analysis. The results showed a significant effect of flight altitude, time of day and ISO sensitivity on image quality. A decrease in sharpness (MTF10) was observed with increasing distance from the image centre and at higher ISO values. The conclusions of the study may be helpful in planning photogrammetric missions using UAVs, enabling better-quality image data.

Details

Title
Assessment of UAV image quality in terms of optical resolution
Author
Zachar, Paulina 1 ; Wilk, Łukasz 1 ; Pilarska-Mazurek, Magdalena 1   VIAFID ORCID Logo  ; Meißner, Henry 2 ; Ostrowski, Wojciech 3 

 Warsaw University of Technology, Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw, Poland; Warsaw University of Technology, Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw, Poland 
 Institute of Optical Sensor Systems, German Aerospace Center, 12489 Berlin, Germany; Institute of Optical Sensor Systems, German Aerospace Center, 12489 Berlin, Germany 
 Warsaw University of Technology, Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw, Poland; Warsaw University of Technology, Faculty of Geodesy and Cartography, Department of Photogrammetry, Remote Sensing and Spatial Information Systems, Warsaw, Poland; Faculty of History, Jagiellonian University in Krakow, Poland 
Pages
139-145
Publication year
2025
Publication date
2025
Publisher
Copernicus GmbH
ISSN
16821750
e-ISSN
21949034
Source type
Conference Paper
Language of publication
English
ProQuest document ID
3219021410
Copyright
© 2025. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.