The essence of the work is to investigate the influence of the elements of internal orientation (EofIO) of digital images obtained with the help of unmanned aerial vehicles (UAV) on the accuracy of determining the coordinates of points on the ground. It is proposed to perform this on the basis of the collinearity condition where the function is constructed, for which the optimal values of EofIO images are determined. In this case, such a search is performed using values in the set of elements of external orientation (EofXO) and EofIO, defined using image processing programs as an initial approximation provides further refinement of the coordinates of points on the ground. The algorithm was tested on the corresponding results of aerial photography from UAVs at control points, which made it possible to prove the effectiveness of this technique.
V. M. Hlotov, М. M. Fys, O. Pashchetnyk Development of a methodics for improving the accuracy of determination of spatial coordinates of object points during air surveillance from a UAV. .Geodesy, cartography and aerial photography. Issue 92, 202,p.45-54.
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Старосотников, Н. О. (2020) Методика определения элементов внутреннего ориентирования многоматричных оптико-электронных аппаратов / Н. О. Старосотников, И. В. Подскребкин, Р. В. Фёдорцев // Наука и техника.
H. Hastedt A, T. Luhmann A, (2015). Investigations on the quality of the interior orientation and its impact in object space for UAV photogrammetry. a IAPG, Jade University of Applied Sciences, Ofener Str. 16/19, 26121 Oldenburg, Germany - (heidi.hastedt, luhmann).