Peter Blistan, Ľudovít Kovanič, Matej Patera, Tomáš Hurčík
Evaluation quality parameters of DEM generated with low-cost UAV photogrammetry and Structure-from-Motion (SfM) approach for topographic surveying of small areas
Číslo: 3/2019
Periodikum: Acta Montanistica Slovaca
Klíčová slova: UAV, photogrammetry, structure from motion, DEM, point-cloud, GCP, regression analysis, RMSE.
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Anotace:
Conventional geodetic methods and instruments such as total station, or GNSS, are commonly used for geodetic surveying of the
ground surface. In recent years, with the development of drones - light Unmanned Aerial Vehicles (UAV) and their combination with a
digital camera, opens new opportunities in the field of Earth's surface documentation. This combination of technologies made it possible to
use digital photogrammetry to quickly and operatively document the Earth's surface. Using UAV photogrammetry, we can create an
accurate and detailed surface model. The surface model can be created as GRID, TIN, respectively as a cloud of points, generated by
processing aerial survey images in some processing software, for example, Agisoft Photoscan®. Its accuracy depends essentially on two sets
of factors. One group are factors that depend on camera parameters, image flight and LMS processing. The second group consists of factors
that influence the accuracy of the model - they depend on the modelling method used and the number of points used to create the terrain
model. The research presented in this paper aims to analyze the accuracy of digital elevation models (DEM) created from a various dense
cloud of points, obtained using low-cost UAV photogrammetry. The aim was to define - determine the relationship between the number of
points entering the modelling and the accuracy of the terrain model obtained from the gradually diluted point-clouds. Quarry Jastrabá in the
Slovak Republic was chosen as a representative tested area. The terrain in the quarry has a morphologically indented surface and is thus
suitable for verifying the functional dependence between the number of points and the quality - the accuracy of the resulting model. The
results show that it is possible to identify the relationship between the number of points used to create a terrain model and the accuracy of
the model. This article aims to present the UAV utility for surface documentation and DEM creation. This article addresses the accuracy of
the DEM and the optimum amount of points needed to generate it.
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ground surface. In recent years, with the development of drones - light Unmanned Aerial Vehicles (UAV) and their combination with a
digital camera, opens new opportunities in the field of Earth's surface documentation. This combination of technologies made it possible to
use digital photogrammetry to quickly and operatively document the Earth's surface. Using UAV photogrammetry, we can create an
accurate and detailed surface model. The surface model can be created as GRID, TIN, respectively as a cloud of points, generated by
processing aerial survey images in some processing software, for example, Agisoft Photoscan®. Its accuracy depends essentially on two sets
of factors. One group are factors that depend on camera parameters, image flight and LMS processing. The second group consists of factors
that influence the accuracy of the model - they depend on the modelling method used and the number of points used to create the terrain
model. The research presented in this paper aims to analyze the accuracy of digital elevation models (DEM) created from a various dense
cloud of points, obtained using low-cost UAV photogrammetry. The aim was to define - determine the relationship between the number of
points entering the modelling and the accuracy of the terrain model obtained from the gradually diluted point-clouds. Quarry Jastrabá in the
Slovak Republic was chosen as a representative tested area. The terrain in the quarry has a morphologically indented surface and is thus
suitable for verifying the functional dependence between the number of points and the quality - the accuracy of the resulting model. The
results show that it is possible to identify the relationship between the number of points used to create a terrain model and the accuracy of
the model. This article aims to present the UAV utility for surface documentation and DEM creation. This article addresses the accuracy of
the DEM and the optimum amount of points needed to generate it.