Issue |
E3S Web Conf.
Volume 310, 2021
Annual International Scientific Conference “Spatial Data: Science, Research and Technology 2021”
|
|
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Article Number | 04004 | |
Number of page(s) | 11 | |
Section | Aerophotosurveying. Photogrammetrics | |
DOI | https://doi.org/10.1051/e3sconf/202131004004 | |
Published online | 15 October 2021 |
The features of application of different systems of orientation angles at the processing of aerospace images
Kazan Federal University, Department of Astronomy and Space Geodesy, 420008 Kremlin str, Kazan, Russian Federation
The angular elements of external orientation characterize the position of a shooting camera relative to the coordinate system in which the spatial coordinates of the points of the object under study are determined from the processing of its images. In many cases of aerial photography, e.g. shooting from an unmanned aerial vehicle, as well as in the case of space survey, the values of the orientation angles could be very significant. This paper presents the results of numerical experiments for five different systems of external orientation angles (Euler angles). The studies were performed using the condition of complanarity, which is the basis of space forward intersection. For a space forward intersection, a model of errors in determining spatial coordinates for five systems of shooting camera orientation angles has been developed. In the numerical experiments, the general case of aerial photography from an unmanned aerial vehicle and of space survey of the Earth were simulated. By comparing the root-mean-square errors (RMSE) in determining the spatial coordinates obtained using the studied systems of external orientation angles, the features of the use of these systems of orientation angles were revealed. The results of the research will allow to determine the spatial coordinates of the points of the studied objects with a greater degree of reliability by photogrammetry methods.
Key words: external orientation angles / space forward intersection / spatial coordinates / root-mean-square errors / unmanned aerial vehicles / remote sensing.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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