Research Article

Orthophoto production and accuracy analysis with UAV photogrammetry

Volume: 4 Number: 1 July 6, 2022
EN

Orthophoto production and accuracy analysis with UAV photogrammetry

Abstract

Undoubtedly, Unmanned Aerial Vehicles (UAVs) are one of today’s most functional technology products. In recent years, UAVs integrated with different sensors and transformed into harmony with advanced technology are developing rapidly and used in various applications to obtain spatial data. With UAV photogrammetry, images of target areas can be obtained quickly, at low cost, with high accuracy, and up to date. In addition to the advantages and success of existing methods for orthophoto production in large areas with classical photogrammetry, it is observed that the accuracy of these methods decreases in detecting changes in geometric properties, especially in small-scale areas. For this reason, obtaining geometric accuracy with the desired precision, which is of great importance in orthophoto production with UAV photogrammetry, has made it the basis for preference over classical methods. In this study, autonomous flights were carried out with DJI Mavic-2 Pro UAV in the selected pilot region, and orthophoto, Digital Elevation Model (DEM), and Digital Terrain Model (DTM) were produced as a result of processing the images obtained. To determine the geometric accuracy of the orthophoto, its coordinates were measured by the CORS-GPS method, and ten ground control points (GCP) were used. As a result of the accuracy analysis of the produced orthophoto, the spatial accuracy in the easting (ΔE) direction is ±6.9 cm, the spatial accuracy in the northing (ΔN) direction is ±7.8 cm, and the spatial accuracy in the height (ΔH) direction is ±10.3 cm.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Publication Date

July 6, 2022

Submission Date

May 28, 2022

Acceptance Date

July 2, 2022

Published in Issue

Year 2022 Volume: 4 Number: 1

APA
Güngör, R., Uzar, M., Atak, B., Yılmaz, O. S., & Gümüş, E. (2022). Orthophoto production and accuracy analysis with UAV photogrammetry. Mersin Photogrammetry Journal, 4(1), 1-6. https://doi.org/10.53093/mephoj.1122615
AMA
1.Güngör R, Uzar M, Atak B, Yılmaz OS, Gümüş E. Orthophoto production and accuracy analysis with UAV photogrammetry. Mersin Photogrammetry Journal. 2022;4(1):1-6. doi:10.53093/mephoj.1122615
Chicago
Güngör, Ramazan, Melis Uzar, Bilal Atak, Osman Salih Yılmaz, and Erdal Gümüş. 2022. “Orthophoto Production and Accuracy Analysis With UAV Photogrammetry”. Mersin Photogrammetry Journal 4 (1): 1-6. https://doi.org/10.53093/mephoj.1122615.
EndNote
Güngör R, Uzar M, Atak B, Yılmaz OS, Gümüş E (July 1, 2022) Orthophoto production and accuracy analysis with UAV photogrammetry. Mersin Photogrammetry Journal 4 1 1–6.
IEEE
[1]R. Güngör, M. Uzar, B. Atak, O. S. Yılmaz, and E. Gümüş, “Orthophoto production and accuracy analysis with UAV photogrammetry”, Mersin Photogrammetry Journal, vol. 4, no. 1, pp. 1–6, July 2022, doi: 10.53093/mephoj.1122615.
ISNAD
Güngör, Ramazan - Uzar, Melis - Atak, Bilal - Yılmaz, Osman Salih - Gümüş, Erdal. “Orthophoto Production and Accuracy Analysis With UAV Photogrammetry”. Mersin Photogrammetry Journal 4/1 (July 1, 2022): 1-6. https://doi.org/10.53093/mephoj.1122615.
JAMA
1.Güngör R, Uzar M, Atak B, Yılmaz OS, Gümüş E. Orthophoto production and accuracy analysis with UAV photogrammetry. Mersin Photogrammetry Journal. 2022;4:1–6.
MLA
Güngör, Ramazan, et al. “Orthophoto Production and Accuracy Analysis With UAV Photogrammetry”. Mersin Photogrammetry Journal, vol. 4, no. 1, July 2022, pp. 1-6, doi:10.53093/mephoj.1122615.
Vancouver
1.Ramazan Güngör, Melis Uzar, Bilal Atak, Osman Salih Yılmaz, Erdal Gümüş. Orthophoto production and accuracy analysis with UAV photogrammetry. Mersin Photogrammetry Journal. 2022 Jul. 1;4(1):1-6. doi:10.53093/mephoj.1122615

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