Scholarly record
ADVANCED ACCURACY TESTS OF DATASETS GATHERED BY UAVS
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.
Publication Impact Profile
Publication details
References12
Aber JS, Marzolff I, Ries JB. (2010). Small-Format Aerial Photography: Principles, Techniques and Geoscience Applications. Amsterdam – London: Elsevier Science. ISBN: 9780444532602.
Cardenala J, Mataa E, Castroa P, Delgadoa J, Hernandeza MA, Pereza, JL, Ramos M, Torresa M. (2004). Evaluation of a digital non metric camera (Canon D30) for the photogrammetric recording of historical buildings. In: Altan, Orhan (ed.). ISPRS Congress Istanbul. Vol. XXXV, Part B5, pp. 455 – 460. ISSN 1682-1750.
Chandler JH, Fryer JG, Jack A. (2005). Metric capabilities of low-cost digital cameras for close range surface measurement. Photogrammetric Record Vol. 20, no. 109, pp. 12-26. DOI: 10.1111/j.1477-9730.2005.00302.x.
Doornik JA, Hansen H. (2008). An omnibus test for univariate and multivariate normality. Oxford Bulletin of Economics and Statistics, Volume 70, pp. 927–939. DOI: 10.1111/j.1468-0084.2008.00537.x.
Hammer Ø. (2015). PAST: Paleontological Statistics. Reference manual. Oslo: Natural History Museum, University of Oslo. p. 40-41.
Pacina J, Popelka J, Tobisch M. (2017) Extinct settlement identification using small format aerial photography - methods and accuracy. In Al Ali, M. a P. Platko, eds. Advances and trends in engineering sciences and technologies II - proceedings of the 2nd international conference on engineering sciences and technologies, ESaT 2016. Boca Raton: Taylor & Francis Group, 2017, pp. 809-816. ISBN 978-1-138-03224-8.
Seitz SM, Curless B, Diebel J, Scharstein D, Szeliski R. (2006). A comparison and Evaluation of multi-view stereo reconstruction algorithms. In: Fitzgibbon, Andrew – Taylor, Camillo – J. LeCun, Yann (eds.). 2006 IEEEComputer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), vol. 1. IEEE, Washington. 2006; pp. 519 - 528. DOI: 10.1109/CVPR.2006.19
Ullman S. (1979). The interpretation of structure from motion. Proceedings of the Royal Society of London, B203, pp. 405–426.
Quan L. (2010). Image-based Modeling. New York: Springer. ISBN 978-1- 4419-6679-7.
Verhoeven G. (2011). Taking ComputerVision Aloft - Archaeological Three-dimensional Reconstructions from Aerial Photographswith PhotoScan. Archaeological Prospection, Issue 18, pp. 67-73. DOI: 10.1002/arp.399
Verhoeven G, Doneusb M, Briese Ch, Vermeulen F. (2012). Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs. Journal of Archaeological Science, Volume 39, Issue 7, pp. 2060–2070. DOI: 10.1016/j.jas.2012.02.022
Van Damme T. (2015). Computer Vision Photogrammetry For Underwater Archaeological Site Recording In A Low-Visibility Environment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-5/W5. DOI: 10.5194/isprsarchives-XL-5-W5-231-2015
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.
