
Research on UAV Large Scale Mapping and its elevation fitting
Author(s) -
Rongshan Lu,
Xiaona Yang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/569/1/012078
Subject(s) - elevation (ballistics) , photogrammetry , scale (ratio) , surface (topology) , curve fitting , quadratic function , digital elevation model , function (biology) , contour line , plane (geometry) , topographic map (neuroanatomy) , remote sensing , quadratic equation , geodesy , geology , mathematics , geometry , geography , cartography , statistics , evolutionary biology , biology , psychology , posterior parietal cortex , cognitive psychology
Due to the influence of the external environment and the limitation of data processing methods, the accuracy of the unmanned aerial vehicle (UAV) aerial photogrammetry needs further studies in the aspect of mapping large-scale topographic maps. In order to verify whether the measurement accuracy of the UAV aerial photography system meets the requirements of large-scale topographic maps, this paper conducts an accuracy test on a topographic map, using the surface fitting model, the plane fitting model, quadratic surface fitting and polyhedral function method fitting based on field measured data. The fitting of four models to the elevation points by the combined polyhedral function method. The elevation difference between the flat area and the mountain area was corrected, and the elevation accuracy of the four methods was compared. This paper shows that in flat areas the elevation accuracy of the surface fitting model is better than the plane fitting model, quadratic surface fitting, and polyhedral function method fitting. In the mountainous region, the elevation accuracy of the quadratic surface fitting model is better than that of the plane fitting model, surface fitting model, and polyhedral function method.