期刊论文详细信息
ISPRS International Journal of Geo-Information
The Use of Nadir and Oblique UAV Images for Building Knowledge
Andrea Dessì1  Giuseppina Vacca1  Alessandro Sacco2 
[1] DICAAR, Department of Civil and Environmental Engineering and Architecture, University of Cagliari, P.zza D’Armi, 09123 Cagliari, Italy;Studio Sacco, Via Salvator Rosa, n. 10, 09100 Cagliari, Italy;
关键词: UAV;    photogrammetry;    planning;    oblique images;   
DOI  :  10.3390/ijgi6120393
来源: DOAJ
【 摘 要 】

This paper focuses on the processing and study of 3D models obtained from images captured by an unmanned aerial vehicle (UAV). In particular, we wanted to study the accuracy gains achieved in the surveying and the measurement, such as height, area, and volume, of the dimensions of the buildings in the 3D models obtained with both nadir and oblique UAV flights. These latter types of flights are particularly suitable for the 3D modeling of cities or urban agglomerations, where it is important to achieve a complete building reconstruction, including façades and footprints of buildings. For this purpose, several UAV surveys with both nadir and oblique axes were performed. The nadir flight acquired images over an area of about 3.5 hectares containing 30 buildings, while the second flight, performed with both a nadir camera and an oblique camera, was conducted on a single building. The images from the flights were processed with Photoscan software by Agisoft and with Pix4D, studying their different potentialities and functionality. The results were compared with the data from the 1:2000 scale Geotopographic Database (DBGT), with the results of a Global Navigation Satellite System (GNSS) survey and with 3D model from the Terrestrial Laser Scanner (TLS) survey. The obtained results have shown that oblique UAV flights increase the achievable accuracy both in terms of the number of points in a point cloud, and in the in measurements taken on the 3D models, with respect to the limited cost, and at the increase in time for surveying and image processing.

【 授权许可】

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