Accuracy Assessment of Airborne-Based Photogrammetry using UAV

Abstract

Accuracy assessment using unmanned aerial vehicles (UAVs) involves evaluating the accuracy and precision of the data collected through photogrammetric methods. This can be done by comparing the UAV data to a ground truth dataset, such as GPS or survey data. The accuracy assessment process involves establishing ground control points (GCPs) to ensure accurate positioning, and then comparing the UAV data to the ground truth data through statistical analysis. This statistical analysis includes calculating square values, absolute vertical difference, mean, standard deviation, and root mean square error (RMSE) values. The results of the accuracy assessment is used to draw conclusions about the validity of the photogrammetric method used in the study and to provide recommendations for future research or applications.