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Sensors 2016, 16(7), 951; doi:10.3390/s16070951

Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization

Department of Remote Sensing and Photogrammetry, Faculty of Civil Engineering and Geodesy, Military University of Technology, Warsaw 00908, Poland
Author to whom correspondence should be addressed.
Academic Editors: Felipe Gonzalez Toro and Antonios Tsourdos
Received: 16 March 2016 / Revised: 24 May 2016 / Accepted: 9 June 2016 / Published: 23 June 2016
(This article belongs to the Special Issue UAV-Based Remote Sensing)
View Full-Text   |   Download PDF [6632 KB, uploaded 23 June 2016]   |  


The aim of this research was to assess the possibility of conducting an absolute orientation procedure for video imagery, in which the external orientation for the first image was typical for aerial photogrammetry whereas the external orientation of the second was typical for terrestrial photogrammetry. Starting from the collinearity equations, assuming that the camera tilt angle is equal to 90°, a simplified mathematical model is proposed. The proposed method can be used to determine the X, Y, Z coordinates of points based on a set of collinearity equations of a pair of images. The use of simplified collinearity equations can considerably shorten the processing tine of image data from Unmanned Aerial Vehicles (UAVs), especially in low cost systems. The conducted experiments have shown that it is possible to carry out a complete photogrammetric project of an architectural structure using a camera tilted 85°–90° ( φ or ω) and simplified collinearity equations. It is also concluded that there is a correlation between the speed of the UAV and the discrepancy between the established and actual camera tilt angles. View Full-Text
Keywords: close range photogrammetry; collinearity equations; exterior orientation; image sequence; UAV close range photogrammetry; collinearity equations; exterior orientation; image sequence; UAV

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Kedzierski, M.; Delis, P. Fast Orientation of Video Images of Buildings Acquired from a UAV without Stabilization. Sensors 2016, 16, 951.

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