The Impact of the Calibration Method on the Accuracy of Point Clouds Derived Using Unmanned Aerial Vehicle Multi-View Stereopsis

Remote Sensing

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.