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Application of unmanned flying vehicle for obtaining digital orthofotomaps
2019
Pisetskaya, O., Belarusian State Agricultural Academy, Gorki, Mogilev reg. (Belarus) | Isayeva, Ya., Belarusian State Agricultural Academy, Gorki, Mogilev reg. (Belarus) | Goutsaki, M., Republican Agricultural Aero-geodesic Unitary Enterprise BelPSHAGI, Priluki, Minsk distr., Minsk reg. (Belarus)
Nowadays, surveys using unmanned aerial vehicles are becoming popular. The resulting orthophotomap is the final product for creating digital plans and cardboard. The objectives of the study are to study the possibilities of obtaining orthophotomaps from survey materials using unmanned aerial vehicles based on the results of the experiment. The article describes various types of aerial photography. Some types of unmanned flying vehicles to conduct aerial photography for the purpose of monitoring, engineering surveys, inventory of agricultural land, and crop forecasts are considered. A description of aerial photography surveying is given on the example of the city of Dzerzhinsk, Minsk Region, which is performed taking into account the unmanned flying vehicles of GeoScan 201 and the Republican agricultural aero-geodesic unitary enterprise BelPSHAGI. A description of the GeoScan Planner software and basic pre-flight preparation is given. The stages of the preparatory work before the aerial photography, the creation of the planning and high-altitude geodetic justification, the implementation of aerial photography procedures, the steps of the aerial photograph anchorage procedure are considered. Agisoft Photoscan, which allows to get clouds of points, surfaces, 3D models and orthophotomaps using digital raster images are presented. The map of heights (DEM) of the terrain and the orthophotomap was made on the basis of a dense points cloud. According to the results of the research, a conclusion was made on the possibility of using aerial photography materials obtained using unmanned flying vehicles to get orthophotomaps of the required accuracy.
Показать больше [+] Меньше [-]Mathematical model for errors estimation of object’s location parameters determination using flying platform
2019
Korolov, V., Hetman Petro Sahaidachnyi National Army Academy, Lviv (Ukraine) | Savchuk, S., Lviv Polytechnic National Univ. (Ukraine) | Korolova, O., Hetman Petro Sahaidachnyi National Army Academy, Lviv (Ukraine) | Milkovich, I., Hetman Petro Sahaidachnyi National Army Academy, Lviv (Ukraine) | Zaec, Y., Hetman Petro Sahaidachnyi National Army Academy, Lviv (Ukraine)
Some tasks require identification of landmarks in districts beyond the reach of existing optical observation facilities. The accuracy of their determination significantly affects the effectiveness of the use necessary equipment during the task. In the paper an algorithm to determine the object parameters using a flying platform is offered. An observation point is installed which is equipped with a navigation system to solve this task. This ensures its orientation and positioning. From the observation point an aerial observation point is displayed. It is suggested to use a flying platform. The coordinates of the flying platform are determined relative to the observation point; the coordinates of the landmarks are determined relative to the flying platform. The mathematical model of the estimation error determination of object coordinates with the help of a flying platform is proposed. The analysis of errors in determining the parameters of the object using a flying platform is conducted. Analysis of the results of mathematical modelling is conducted using the package of applications Mathcad. The dependence of these parameters on the relative position of the observation point, platforms and object is examined. It is shown that the main contribution to the error of determining the coordinates of the landmark is given by the errors of determining the observation point location and measuring the range. An analytical correlation is obtained, which allows to estimate the errors of determining the coordinates of the landmark using the flying platform with known errors in determining the observation point coordinates and the range determination of the range finder.
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