Open AccessAnovar of Errors in Surveying Photogrammetric Measurements of Mountain Objects with the Help of Unmanned Aerial Vehicles
Author(s) -
A. A. Blischenko,
Vladimir Gusev
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/720/1/012103
Subject(s) - photogrammetry , correctness , pace , perspective (graphical) , computer science , aerial survey , object (grammar) , remote sensing , aeronautics , aerospace engineering , systems engineering , computer vision , artificial intelligence , geography , engineering , geodesy , programming language
The application of unmanned aerial vehicle technologies in surveying is gaining pace: the results are more correct while being obtained more quickly at less amount of resources required. The drawbacks of the UAV used are most frequently detected during the flight execution and thus, a certain experience is accumulated, new methods and options for the UAV application at surface mining operations. A great part of the experimental outcomes obtained allows justifying a more efficient use of UAV from a theoretical perspective. The article considers the main problems of surveying photogrammetric measurements of the mountain objects. The authors study the impact factors influencing the errors in the measurements conducted with the help of the unmanned aerial vehicle and suggest a mathematical method for their substantiation and analysis by the example of ANOVAR of the UAV flying height and the number of control survey points that help to improve the correctness of the final model for the object measured.