Metodología para el diseño de un vuelo fotogramétrico usando UAV´S

Abstract

The purpose of the design of a photogrammetric flight is to be able to represent on a map with an appropriate scale the flight lines to be followed, the capture points of the images and the flight height. This work proposes the adaptation of the design of a photogrammetric flight that is normally done from a manned aircraft to be able to do it with an RPA1, this in order to be able to implement this data capture technique for the support of small, medium and large projects. engineering in a more efficient and economic way. The correct design of the flight improves the accuracy of the abstracted information of the terrains, which will finally be reflected in the final deliverables of the flights such as ortomosaics, MDT2, contour lines, dense point clouds among others. For the development of this work it was necessary to inquire about photogrammetry, digital cameras, and basic programming, all this in order to create an interface layers to provide the user with the basic parameters necessary to carry out a photogrammetric flight. The equations that were used are adaptations of the photogrammetric flight design manual created by the CIAF3 in 1981 and to be able to calculate the necessary parameters, it was decided to use the Matlab program and its GUI4 application which allows to create interfaces capases to solve programmed algorithms in a fast way and in a very friendly way for the users. The photogrammetric flights must have a logical sequence, and the calculation of their parameters are based on the type of terrain where they are going to be carried out. If there is a flat terrain, the problems are not greater because the flight heights above ground do not vary from way that may affect the quality of the information, but on the other hand fly over mountainous terrain implies establishing tolerance ranges where flight heights meet the overlap and scale determined by the user. This methodology proposes a solution to these two scenarios through a user interface from the Matlab environment and the support of the Google Earth and Mission Planner programs.