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Development and Evaluation of a UAV-Photogrammetry System for Precise 3D Environmental Modeling.

Mozhdeh Shahbazi1, Gunho Sohn2, Jérôme Théau3

  • 1Department of Applied Geomatics, Université de Sherbrooke, 2500 Boulevard de l'Université, Building A6, Sherbrooke, QC J1K 2R1, Canada. mozhdeh.shahbazi@usherbrooke.ca.

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Summary
This summary is machine-generated.

This study details a custom Unmanned Aerial Vehicle (UAV)-photogrammetry system, enhancing mapping accuracy for challenging terrains. The developed system significantly improves precision through advanced georeferencing techniques.

Keywords:
UAVcalibrationgeoreferencingground control pointminemodelingphotogrammetry

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Area of Science:

  • Geomatics Engineering
  • Photogrammetry
  • Remote Sensing

Background:

  • Existing Unmanned Aerial Vehicle (UAV)-photogrammetry systems often lack specialized solutions for development requirements.
  • Adequate assessment of UAV-photogrammetry system implementation has been insufficient in recent research.
  • Precise modeling of complex environments like open-pit mines requires robust and validated photogrammetric approaches.

Purpose of the Study:

  • To present the methodological and experimental implementation of a specifically designed UAV-photogrammetry system.
  • To propose solutions for enhancing system performance and the quality of photogrammetric outputs.
  • To evaluate the accuracy of the developed system in modeling a challenging open-pit gravel mine environment.

Main Methods:

  • System development involved an electric helicopter, high-resolution camera, and inertial navigation system (INS).
  • Custom in-house software was developed for camera/platform calibration, system integration, data acquisition, flight planning, and self-calibration.
  • Accuracy assessment involved direct and indirect georeferencing with varying ground control points (GCPs), imaging configurations, and network stability.

Main Results:

  • Direct georeferencing achieved 1.55 m horizontal and 3.16 m vertical absolute modeling accuracy.
  • Indirect georeferencing significantly improved accuracy to 0.4 cm horizontally and 1.7 cm vertically.
  • Analysis confirmed the impact of imaging configuration and network stability on overall modeling precision.

Conclusions:

  • The developed UAV-photogrammetry system offers effective solutions for precise environmental modeling.
  • Indirect georeferencing substantially enhances absolute accuracy compared to direct georeferencing.
  • The system's comprehensive approach addresses critical requirements for advanced UAV-based mapping applications.