The thesis focuses on a comparative analysis of two unmanned aerial vehicles, the DJI Mavic 3 and the DJI Phantom 4 Pro+, and their application in photogrammetry. The objective of the study is to evaluate the efficiency and accuracy of these drones and their built-in cameras, as well as their suitability for use in geotechnology and mining applications. The quality of photogrammetric products was analysed using data from a practical case study in the Lipovica quarry, comparing dense point clouds, digital models, and profiles. The results showed that the Mavic 3 outperformed the Phantom 4 Pro+ in several aspects. This result can be attributed to the improved features of the Mavic 3 drone, including a more powerful camera and technological improvements that enable faster and more accurate data collection. Despite minor deviations, especially in vegetated areas, the results provide valuable guidance in choosing between the two drone models for various photogrammetric projects. The study contributes to a better understanding of the use of the Mavic 3 and Phantom 4 Pro+ drones for photogrammetric measurements and provides guidelines for their further application.
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