Remote Sensing | |
The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis | |
Steve Harwin1  Arko Lucieer2  Jon Osborn2  Pablo J. Zarco-Tejada2  | |
[1]Discipline of Geography and Spatial Sciences, School of Land and Food, University of Tasmania, Private Bag 76, Hobart, TAS 7001, Australia | |
关键词: structure-from-motion; multi-view stereopsis; UAV; calibration; oblique imagery; ground control accuracy; | |
DOI : 10.3390/rs70911933 | |
来源: mdpi | |
【 摘 要 】
In unmanned aerial vehicle (UAV) photogrammetric surveys, the camera can be pre-calibrated or can be calibrated “on-the-job” using structure-from-motion and a self-calibrating bundle adjustment. This study investigates the impact on mapping accuracy of UAV photogrammetric survey blocks, the bundle adjustment and the 3D reconstruction process under a range of typical operating scenarios for centimetre-scale natural landform mapping (in this case, a coastal cliff). We demonstrate the sensitivity of the process to calibration procedures and the need for careful accuracy assessment. For this investigation, vertical (nadir or near-nadir) and oblique photography were collected with 80%–90% overlap and with accurately-surveyed ( went from 7.0–7.3 mm). However, our results do indicate that loss of accuracy due to sparse ground control can be mitigated by including oblique imagery.
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190006091ZK.pdf | 2011KB | download |