Accuracy Evaluation of Products Based on UAV Data Processed Using Different Approaches
Accuracy Evaluation of Products Based on UAV Data Processed Using Different Approaches

Summary/Abstract: The Unmanned Aerial Vehicle (UAV) is an aircraft designed to operate without a human on board. The main advantages of UAVs in photogrammetry are the possibility to acquire very high resolution imagery, but the most important limitation is represented by the area covered in time unit. The SfM algorithm, coupled with the advancements in UAV photogrammetric processes, have significantly enhanced the efficiency, accuracy, and accessibility of aerial mapping using UAVs. This paper gives an overview of the proper workflow with data acquired with photogrammetric sensor (Aeria X) mounted on an eBee SenseFly UAV and a comparison between the products (dense image matching point cloud, digital surface model, and orthophoto) obtained using the most known software: Pix4D Mapper (developed by the company Pix4D) and Metashape (developed by the company Agisoft LLC). In the study case, GCPs are used in the bundle adjustment, in order to generate better quality products. The quality is evaluated by computing metrics, like root mean square errors, but also in a relative manner by measuring distances between different products with Iterative Closest Point method.

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