METHODS TO IMPROVE ACCURACY IN OPEN-PIT MINES PHOTOGRAMMETRY
DOI:
https://doi.org/10.25635/2313-1586.2025.01.135Keywords:
photogrammetry, surveying, aerial photography, UAV, quadcopter, open-pit mining, GNSS equipmentAbstract
One of the mining surveying department tasks is to survey mining operations. Among various tools used in surveying, aerial photography with photogrammetric processing stands out. Use of aerial photography and photogrammetry is simplified due to the availability of unmanned aerial vehicles (UAVs) and modern software. The advantages of this method are large coverage and low labor costs. However, aerial photography still requires preliminary site placement and georeferencing of GCPs, which is time-consuming. This problem raises question about the search for methods that can reduce the number of GCPs necessary for the accurate building of a photogrammetric model.
The main goal of the research is to assess the impact of the number of GCPs on the UAV-based photogrammetric surveying accuracy in open-cut mining.
Based on the results of aerial photography, 13 photogrammetric models of the pit were generated. Each of them differs in the quantity and arrangement of used GCPs. Accuracy of the model was estimated using root means square errors (RMSE) of the control points coordinates. Elements of regression analysis were used to assess the relationship between errors and GCPs quantity. It is established that with an increase in the number of GCPs used in the processing, the RMSE values decrease. The smallest horizontal and vertical RMSEs were observed for the case with the largest number of GCPs and are 0.031 m and 0.028 m, respectively.
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