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ADVANCED ACCURACY TESTS OF DATASETS GATHERED BY UAVS

Jan Pacina, Jan Popelka, Sandra Klimesova

Abstract

The availability of drones and other types of UAVs makes this method very popular for gathering spatial data for different purposes. The derived orthophotos and digital surface models have wide usage in many branches. One of the UAV survey mission requirement are the Ground Control Points (GCP) allowing the resulting data to be georeferenced and overlaid with other data sources. Some UAVs may be equipped with the IMU (Inertial Measurement Unit) and precise GNSS receiver пїЅ the Trimble UHX-5 in our case. The quality of the GCPs or the data recorded by the IMU are crucial for the accuracy of the resulting datasets, influencing all the on following research. This article deals with the accuracy of the data (orthophoto, digital surface model) processed based on the Yaw, Pitch and Roll angles and image center coordinates recorded by the IMU. Large dataset of precisely surveyed points was used as the reference data and the advanced accuracy tests using the methods of geostatistics were performed. All of the geostatistical tests are based on the analysis of the differences in-between the surveyed and the reference data. The three main conditions were tested within the resulting dataset: the normality of the differences distribution, the spatial independences of the differences and the differences independence on the elevation.

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DOI resolver: doi.org/10.5593/sgem2017/23/s10.001

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