COMPUTER VISION CAPABILITIES FOR ORTHOPHOTOGRAMMETRY AND 3D TERRAIN MODELING

Kiril Lengerov; Georgi Komitov; Evgeni Kehayov; Ivan Mitkov

doi:10.68302/std2026.vol2.77

Authors

Kiril Lengerov dept. Mechanical and Precision Engineering, Technical University of Sofia, branch Plovdiv, Plovdiv, Bulgaria
Georgi Komitov dept. Mechanical and Precision Engineering, Technical University of Sofia, branch Plovdiv, Plovdiv, Bulgaria
Evgeni Kehayov dept. Agricultural Mechanization, Agricultural University – Plovdiv, Plovdiv, Bulgaria
Ivan Mitkov dept. Agricultural Mechanization, Agricultural University – Plovdiv, Plovdiv, Bulgaria

DOI:

https://doi.org/10.68302/std2026.vol2.77

Keywords:

3D modelling, digital terrain model, orthophotogrammetry, UAV, WebODM

Abstract

Orthophotogrammetry is a specialized branch of photogrammetry aimed at creating accurate, scaled orthophotographs (or orthomosaics). This paper investigates the theoretical and practical aspects of computer vision algorithms in the creation of three-dimensional models of objects and terrains in order to generate reliable reconstruction. The article discusses the capabilities of the WebODM (Web OpenDroneMap) product for application in field orthophotogrammetry and the creation of high-precision 3D models. The workflow for creating a three-dimensional model from unmanned aerial vehicle (UAV) imagery and the creation of digital elevation models (DEM/DSM), dense point clouds and textured three-dimensional models is given. A quantitative accuracy assessment was performed using the root mean square error (RMSE) of the final geospatial products, to validate their suitable relative geometric accuracy in monitoring and safety in the urban environment.

Supporting Agencies

The author/s would like to thank the Research and Development Sector at the Technical University of Sofia for the financial support.

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