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Abstract

In this research, a fixed-wing UAV based spatial information acquisition platform which can carry three cameras on board is developed and evaluated. A position and attitude determination of all collected photos is a prerequisite for unmanned aerial vehicles (UAVs) - based photogrammetry and computer vision applications to derive spatial data. In photogrammetric practices, an approximate position and attitude of each collected digital photos must be determined in advance to enable to start bundle adjustment procedures. There are numerous methods for solving this problem arises from both photogrammetric and computer vision communities. However, due to a high measurement cost of geodetic type of GPS observations, a minimal number of control points are used to solve a closed form of space resection problems. Two variant methods of a closed form solution using three control points only are evaluated. A method so called “a perspective similar triangle” arises from computer vision community and “a photo scaled variation” method are evaluated and compared. Both methods have a stable direct solution in presence of image noise; nonetheless this study reveals their robustness and stability of the solution with vertical, oblique, high oblique and convergent photos.