Abstract

Abstract. Utilization of an UAV is increasing because of its easy operation and time saving advantages. Compared with other remote sensing platforms, the biggest difference of a small UAV is the unstable flight attitude due to platform stability. UAVs are equipped with a commercial grade camera, unlike expensive cameras mounted on manned aircraft or satellite platforms. The quality of the map is determined by the characteristics of an UAV and camera performance. In this study, the accuracy of orientation parameters according to UAV camera calibration options was analysed. The camera calibration options were no calibration, self-calibration and calibration by a public calibration toolkit with manual corner measurement. We used four different type of UAVs and three type of SWs. Interior and exterior orientation parameters according to the camera calibration options were obtained from each software. The result of processing by each camera calibration option was different from each other. This may indicate that the UAV camera calibration was not performed accurately and still needed further improvement.

Highlights

  • UAVs acquire images at lower altitudes than manned aircraft and can produce higher spatial resolution images

  • UAV images with high spatial resolution is a pre-requisition for producing maps with high accuracy

  • We analysed the orientation accuracy according to the camera calibration option

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Summary

Introduction

UAVs acquire images at lower altitudes than manned aircraft and can produce higher spatial resolution images. UAV images with high spatial resolution is a pre-requisition for producing maps with high accuracy. Studies on camera calibration and mapping accuracy using an UAV are being actively carried out. The accuracy of the camera calibration was analysed using a smart phone mounted on an UAV (Shin et al, 2016). For the rotary-wing, vertical take-off and landing and free direction control are possible, but flight time is short and speed is slow due to high battery consumption. We used four different types of UAVs one fixed-wing, two rotary-wing and one VTOL UAVs. In this paper, we tested Pix4DMapper, PhotoScan pro and 3D-UAV for processing UAV images. There are many commercial software that can process various UAV images. Most of the commercial software includes a camera calibration and bundle adjustment packages

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