The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B1-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 355–361, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-355-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B1-2020, 355–361, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B1-2020-355-2020

  06 Aug 2020

06 Aug 2020

ON-SITE GEOMETRIC CALIBRATION OF THERMAL AND OPTICAL SENSORS FOR UAS PHOTOGRAMMETRY

J. A. Senn1,2, J. P. Mills1, P. E. Miller2, C. Walsh1, S. Addy2, E. Loerke2, and M. V. Peppa1 J. A. Senn et al.
  • 1School of Engineering, Newcastle University, Newcastle upon Tyne, UK
  • 2James Hutton Institute, Aberdeen, UK

Keywords: geometric calibration, pre-calibration, UAS, photogrammetry, structure from motion

Abstract. UAS imagery has become a widely used source of information in geomorphic research. When photogrammetric methods are applied to quantify geomorphic change, camera calibration is essential to ensure accuracy of the image measurements. Insufficient self-calibration based on survey data can induce systematic errors that can cause DEM deformations. The typically low geometric stability of consumer grade sensors necessitates in-situ calibration, as the reliability of a lab based calibration can be affected by transport. In this research a robust on-site workflow is proposed that allows the time-efficient and repeatable calibration of thermal and optical sensors at the same time. A stone building was utilised as calibration object with TLS scans for reference. The approach was applied to calculate eight separate camera calibrations using two sensors (DJI Phantom 4 Pro and Workswell WIRIS pro), two software solutions (Vision Measurement System (VMS) and Agisoft Metashape) and two different subsets of images per sensor. The presented results demonstrate that the approach is suitable to determine camera parameters for pre-calibrating photogrammetric surveys.