2D and 3D Positioning Performance of UAV-Based Photogrammetry in Residential Regions

Autor: Öykü Alkan, Zafer Köse, Mehmet Alkan, Kayhan Aladogan
Přispěvatelé: [Belirlenecek]
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Volume: 7, Issue: 2 115-123
Hittite Journal of Science and Engineering
ISSN: 2148-4171
Popis: UAVs Unmanned Aerial Vehicles are commonly used in photogrammetric observations in research fields like agriculture, archaeology, industry and construction of base maps. They present several advantages like low-cost platforms, rapid results, high positioning accuracy and less labor effort in the field. In this study, we evaluate the positioning accuracy of UAV based photogrammetry with conventional observation techniques in a sample area. Our main motivation is to examine if the final model of a low altitude UAV can reach the positioning accuracy of conventional observation techniques, especially in residential regions. For this purpose, we evaluate the results of 3 separate photogrammetric flights in a pre-observed field. Results indicate that low-altitude UAV flights can provide high accuracy both in 2D and 3D positioning in residential and densely constructed areas.
Databáze: OpenAIRE