Three-Dimensional Data Quality Assessment: Unmanned Aerial Vehicle Photogrammetry and Mobile Laser Scanner

Authors

  • Mohd Azwan Abbas Universiti Teknologi MARA Perlis Branch, Arau Campus
  • Khairulazhar Zainuddin Universiti Teknologi MARA Perlis Branch, Arau Campus
  • Norhadija Darwin Universiti Teknologi Malaysia
  • Mohamad Aizat Asyraff Mohamad Azmi Universiti Teknologi MARA Perlis Branch, Arau Campus
  • Yusuf Drisu Opaluwa Federal University of Technology Minna
  • Norshahrizan Mohd Hashim Universiti Teknologi MARA Perlis Branch, Arau Campus
  • Saiful Aman Sulaiman Universiti Teknologi MARA Perlis Branch, Arau Campus

DOI:

https://doi.org/10.4186/ej.2021.25.1.143

Keywords:

unmanned aerial vehicle, photogrammetry, laser scanner, tacheometry, surface deviation, accuracy assessment

Abstract

With significantly rapid in acquiring data and sufficient data quality, unmanned aerial vehicle (UAV) photogrammetry and land based mobile laser scanner are actively implemented in three-dimensional (3D) data acquisition that involve with large area. Considering the final data provided by both measurement approaches are point clouds, accuracy assessment using several well-distributed control points are less significant. With intention to robustly evaluate the accuracies of both measurement approaches using point clouds, this study has established reference point clouds using terrestrial laser scanner (TLS) and tacheometry techniques. At the similar test site, fourteen (14) images were captured using UAV photogrammetry approach and georeferenced point clouds were directly acquired from MLS measurement. To produce quality point clouds from photogrammetry approach, six (6) ground control points (GCP) have been well-distributed at the test area to aid geometry correction in image processing phase. Obtained point clouds from both measurement approaches were deviated with the reference point clouds to determine values of mean deviations with the precisions. Based on law of propagation of variance (LOPOV) algorithm, final accuracy of the tested UAV photogrammetry and MLS were computed by propagating the accuracy of reference point clouds and yielded mean deviations of both approaches. Consider the theories and constraints for both approaches, it is found that the yielded accuracies are meet the measurement principles.

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Author Biographies

Mohd Azwan Abbas

Centre of Studies for Surveying Science & Geomatics, Universiti Teknologi MARA Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia

Khairulazhar Zainuddin

Centre of Studies for Surveying Science & Geomatics, Universiti Teknologi MARA Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia

Norhadija Darwin

Faculty of Built Environment & Surveying, Universiti Teknologi Malaysia, 81310 Skudai, Malaysia

Mohamad Aizat Asyraff Mohamad Azmi

Centre of Studies for Surveying Science & Geomatics, Universiti Teknologi MARA Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia

Yusuf Drisu Opaluwa

Department of Surveying & Geoinformatics, School of Environmental Technology, Federal University of Technology Minna, Nigeria

Norshahrizan Mohd Hashim

Centre of Studies for Surveying Science & Geomatics, Universiti Teknologi MARA Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia

Malaysia Institute of Transport (MITRANS), Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia

Saiful Aman Sulaiman

Centre of Studies for Surveying Science & Geomatics, Universiti Teknologi MARA Perlis Branch, Arau Campus, 02600 Arau, Perlis, Malaysia

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Published In
Vol 25 No 1, Jan 31, 2021
How to Cite
[1]
M. A. Abbas, “Three-Dimensional Data Quality Assessment: Unmanned Aerial Vehicle Photogrammetry and Mobile Laser Scanner”, Eng. J., vol. 25, no. 1, pp. 143-154, Jan. 2021.

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