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DETERMINING CORRIDOR MAPPING ACCURACY USING UAV PHOTOGRAMMETRY

Paweł Wiącek

First published: 2020-09-20https://doi.org/10.5593/sgem2020/2.2/s10.024View metrics

Abstract

In recent years, a range of UAV photogrammetry applications, such as long-range corridor mapping, has increased significantly [4]. However, in photogrammetry linear configuration of the flight is considered to be problematic, due to geometric distortions creating ?bowl effect? and a high correlation between focal length and flight altitude. Thus, it is important to investigate how factors like georeferencing method and camera calibration affecting final accuracy. The aim of the article is to determine if the direct georeferencing method and lately adopted in Agisoft Metashape Fourier additional correction model with 96 parameters allow eliminating bowl effect. During the research, two neighboring flights of 5 and 2.5 km railway lines were made. The flights were performed with a fixed-wing UAV equipped with a Sony RX1RII camera and PPK receiver on-board. The area of the research was covered with 68 ground control points which were used for accuracy analyzes. First of all, the results show that the relevant camera distortion model is crucial for eliminating bowl effect. Regardless of the georeferencing method, the use of additional camera calibration corrections significantly increased the accuracy of the adjustment. Secondly, the advantages of using precise camera coordinates were proven. It allowed to decorrelate external and internal orientation parameters and fulfill accuracy requirements even without ground control points. On the other hand, the classical scheme with indirect georeferencing showed high sensitivity on the number and distribution of the ground control points.

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Publication details

Title
DETERMINING CORRIDOR MAPPING ACCURACY USING UAV PHOTOGRAMMETRY
Authors
Paweł Wiącek
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2020
Pages
199-206
SWS Citekey
Wiacek202010199206
ISSN
1314-2704
ISBN
978-619-7603-07-1
Language
en
Publication type
Conference Paper
Keywords
References6
  1. Tang, R.,Fritsch, D., Cramer, M. 2012: New rigorous and flexible Fourier self-calibration models for airborne camera calibration, ISPRS Journal of Photogrammetry and Remote Sensing 71 (2012), 76-85.

  2. Tournadre, V., Pierrot-Deseiligny, M., Faure, P.H. 2015: UAV linear photogrammetry, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XL-3/W3, 327-333

  3. Fraser, C.S., 1987. Limiting error propagation in network design in photogrammetry. Photogrammetric Engineering and Remote Sensing, Vol. 53(5), 487-493

  4. Gerke, M. and Przybilla, H.-J., 2016: Accuracy Analysis of Photogrammetric UAV Image Blocks: Influence of Onboard RTK-GNSS and Cross Flight Patterns. Photogrammetrie – Fernerkundung– Geoinformation (PFG), 2016 (1), 17-30. DOI: 10.1127/pfg/2016/0284

  5. Nex, F., Remondino, F., 2014: UAV for 3D mapping applications: a review. F. Appl Geomat 6:1, 1-15. DOI: 10.1007/s12518-013-0120-x

  6. Pyka, K., Wi?cek, P., 2019: The test field for UAV accuracy assessments: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-1/W2, 67-70

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