Kedzierski Michal, Delis Paulina
Department of Remote Sensing and Photogrammetry, Faculty of Civil Engineering and Geodesy, Military University of Technology, Warsaw 00908, Poland.
Sensors (Basel). 2016 Jun 23;16(7):951. doi: 10.3390/s16070951.
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.
本研究的目的是评估对视频图像进行绝对定向程序的可能性,其中第一张图像的外方位是航空摄影测量的典型外方位,而第二张图像的外方位是地面摄影测量的典型外方位。从共线方程出发,假设相机倾斜角等于90°,提出了一种简化的数学模型。所提出的方法可用于基于一对图像的一组共线方程来确定点的X、Y、Z坐标。使用简化的共线方程可以显著缩短来自无人机(UAV)的图像数据的处理时间,尤其是在低成本系统中。所进行的实验表明,使用倾斜85°-90°(φ或ω)的相机和简化的共线方程来开展建筑结构的完整摄影测量项目是可行的。研究还得出结论,无人机的速度与既定相机倾斜角和实际相机倾斜角之间的差异存在相关性。