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UAV photogrammetry accuracy significantly impacted by processing parameters, study finds

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv by Wojciech Gruszczyński investigates the impact of processing parameters on the accuracy of measurements derived from unmanned aerial vehicle (UAV) photogrammetry. The research systematically evaluated 768 processing variants across ten UAV datasets, revealing that the best-performing configuration achieved an RMSE of 16 mm, while the least effective reached 303 mm. Key factors influencing accuracy included the number of ground control points, the application of additional camera calibration corrections, and the use of Post-Processing Kinematic GNSS for camera projection center coordinates. The findings offer practical guidance for optimizing UAV photogrammetry workflows for high-precision monitoring. AI

RANK_REASON Academic paper detailing a systematic evaluation of processing parameters for UAV photogrammetry. [lever_c_demoted from research: ic=1 ai=0.1]

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UAV photogrammetry accuracy significantly impacted by processing parameters, study finds

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Academic paper detailing a systematic evaluation of processing parameters for UAV photogrammetry. [lever_c_demoted from research: ic=1 ai=0.1]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Pawe{\l} \'Cwi\k{a}ka{\l}a, Edyta Puniach, El\.zbieta Pastucha, Wojciech Gruszczy\'nski ·

    The Impact of Processing Parameters on High-Accuracy Measurements in UAV Photogrammetry

    arXiv:2610.01438v1 Announce Type: new Abstract: Unmanned aerial vehicle (UAV) photogrammetry is increasingly used in applications requiring high accuracy, such as determining ground surface changes caused by landslides, mining, or microrelief transformation. While acquisition str…

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