Generating to three dimensional models of unmanned aerial vehicles data: Aksaray University Campus Mosque

Beginning 20th century has seen a considerable growth in number of methods to create three dimensional (3D) models for structures. Google maps are one of the most well-known of these maps systems. In this period the maps were infrequently updated because the process was costly and labor-consuming, and, as a rule, the update was not necessary. Nowadays, an unmanned aerial vehicle (UAV) is being used to survey buildings of various heights without interlacing with public transport. Unmanned aerial vehicles (UAVs) applications included archaeology, construction engineering, agricultural catchment and forestry. Currently, Unmanned Aerial Vehicle (UAV) systems have become suitable for more applications, like precision farming and infrastructure maintenance, (such as road maintenance and dam surveillance), mapping and 3D modeling emanation. In view of the fact that UAVs can be considered as a low cost alternative to the classical manned aerial photogrammetry, new applications in the short-range and close-range field are introduced. Unmanned aerial vehicle UAVs (Rotary or fixed wing), capable of performing the photogrammetric data acquisition with amateur or digital cameras, can fly in manual, semi-automated and autonomous techniques. Following a typical photogrammetric workflow, three dimensional results like Digital Surface Models or Digital Terrain Models (DSM/DTM), contours, textured 3D models, vector information, etc. can be produced, even on large areas. In this study, a three dimensional model of the campus mosque of Aksaray University was formed with the data of UAV. Two different resolution cameras at 50 and 100 m altitude were obtained with 80% and 60% overlap rates for both altitudes. Using the PhotoScan software, a four-faced three-dimensional model of the mosque was created. 3D model generated for both data in lowest and medium accuracy for two different areas, and then total errors for all assessments were compared to know which altitude is the best to generat 3D model, problems in the model were discussed andthe edges and elevations measured by the geodesic model were compared with those measured by the obtained model. The difference was found to vary between 2-50 cm after the comparison. The average error of the flight was found to be 4.85 cm for 50 m flight height and 5.16 cm for 100 m flight height. Because the Unmanned Aerial Vehicle used cannot take an oblique picture, the Mosinin could not be fully modeled. The three-dimensional modeling gaps have been supplied with pictures taken from the ground. In the case of unmanned aerial vehicles, it is seen that three dimensional models can be made with appropriate accuracy in case that such structures are suitable picture taking.