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ACCURACY OF AERIAL PHOTOGRAMMETRY DEPENDING ON THE NUMBER OF UNNECESSARY MEASUREMENTS
Abstract
The use of UAVs is becoming more and more common today. Otherwise, it is not in the field of modern geodesy only, where this technology is already commonly used to facilitate certain types of work. Especially for jobs that do not require extra high precision, work in large areas, or work in poorly accessible places. This article focuses on comparing point clouds produced by the UAV measurement with terrestrial laser scanning point cloud and determining the results precision according to a number of ground control points and images used in evaluation. In the processing procedure, the point cloud was created with use of all the captured images and ground control points at first. The next point clouds were created by excluding gradually more and more ground control points (excluding ended at final number of four remaining GCPs) and then excluding gradually more and more images. All these processes took place in Agisoft Photoscan software. The created point clouds were cropped in the Cloud Compare program to the area bounded by the outer ground control points and individual comparisons were made both with ground laser scanning and with each other. The purpose of this test was to determine the influence of the number of images and the number and location of ground control points on the accuracy of the determined point cloud.
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Gruszczyński, W.; Matwi, W.; Ćwiąkała, P.: Comparison of low-altitude UAV photogrammetry with terrestrial laser scanning as data-source methods for terrain covered in low vegetation. ISPRS J Photogramm Remote Sens 126:168–179.
Kršák, B.; Blišťan, P.; Pauliková, A.; Puškárová, P.; Kovanič, Ľ.; Palková, J.; Zelizňaková, V.: Use of low-cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study. Measurement 91:276–287.
Zhang, XH; Zhao: Agisoft PhotoScan in data processing, the application of uav aerial photographic images, Value Engineering Volume: 20 Pages: 230- 231 Published: 2013
Fritz, A.; Kattenborn, T.; Koch, B.: UAV-based photogrammetric point clouds—tree stem mapping in open stands in comparison to terrestrial laser scanner point clouds. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 40, 141–146 (2013)
Fraštia, M.; Marčiš, M.; Kopecký, M.; Liščák, P.; Žilka, A.: Complex geodetic and photogrammetric monitoring of the Kraľovany rock slide. In Journal of Sustainable Mining. Vol. 13, no. 4 (2014), s. 12-16. ISSN 2300-1364.
Krajňák, M.; Pukanská, K.; Bartoš, K.: Application of digital photogrammetry in the process of documentation of archaeological artefacts. In: Acta Montanistica Slovaca. Roč. 16, č. 4(2011), s. 337-343. - ISSN 1335-1788.
Braun J., Testing of the Automatic Targeting of Total Station Trimble S8 on Reflective Targets. 15th International Multidisciplinary Scientific GeoConference SGEM 2015. Sofia: STEF92 Technology Ltd., 2015, vol. 2, art. no. 61, p. 491-498. ISSN 1314-2704. ISBN 978-619-7105-35-3.
Kremen T., Koska B.: Testing of measurement accuracy of the total stations. Conference: 15th International Multidisciplinary Scientific Geoconference (SGEM) Location: Albena, BULGARIA Date: JUN 18-24, 2015. INFORMATICS, GEOINFORMATICS AND REMOTE SENSING, VOL II (SGEM 2015) Book Series: International Multidisciplinary Scientific GeoConference-SGEM Pages: 483-489. Published: 2015.
Pospíšil J., Koska B., Křemen T., Using Laser Scanning Technologies for Deformation Measuring. In Optical 3-D Measurement Techniques VIII. Zürich: ETH, 2007, vol. 2, p. 226-233. ISBN 3-906467-67-8.
Křemen T., Koska B., 2D and 3D Documentation of St. Nicolas Baroque Church for the General Reconstruction Using Laser Scanning and Photogrammetry Technologies Combination. In: Videometrics, Range Imaging and Applications XII; and Automated Visual Inspection. Bellingham (Washington): SPIE, 2013, vol. 1, ISSN 0277-786X. ISBN 978-0-8194-9607-2.
Koska, B.; Jirka, V.; Urban, R.; Křemen, T.; Hesslerová, P.; Jon, J.; Pospíšil, J.; Fogl, M.: Suitability, characteristics, and comparison of an airship UAV with lidar for middle size area mapping, International Journal of Remote Sensing, 38:8-10, 2973- 2990, DOI: 10.1080/01431161.2017.1285086.
Tomaštík, J.; Mokroš, M.; Saloň, Š.; Chudý, F.; Tunák, D.: Accuracy of Photogrammetric UAV-Based Point Clouds under Conditions of Partially-Open Forest Canopy. 2017, Forests, 8: 151. DOI: 10.3390/f8050151
Torresan, C.; Berton, A.; Carotenuto, F.; Di Gennaro, S. F.; Gioli, B.; Matese, A.; Miglietta, F.; Vagnoli, C.; Zaldei, A.; Wallace, L.: Forestry applications of UAVs in Europe: a review. 2017. International Journal of Remote Sensing, 38: 2427-2447. DOI: 10.1080/01431161.2016.1252477.
Dvořáček, F.: Survey of Selected Procedures for the Indirect Determination of the Group Refractive Index of Air. Acta Polytechnica. 2018, 58(1), pp. 9-16. ISSN 1805- 2363. DOI: 10.14311/AP.2018.58.0009.
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