首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ANALYSIS OF BUNDLE ADJUSTMENTS AND EPIPOLAR MODEL ACCURACY ACCORDING TO FLIGHT PATH CHARACTERISTICS OF UAV
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ANALYSIS OF BUNDLE ADJUSTMENTS AND EPIPOLAR MODEL ACCURACY ACCORDING TO FLIGHT PATH CHARACTERISTICS OF UAV

机译:无人机飞行航迹特性的束调整和模型模型准确性分析

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Nowadays, UAVs(Unmanned aerial vehicles) are being used in spatial information construction. To construct spatial information, it is important to select appropriate data. Therefore, in this paper, we analyzed the characteristics of UAV flight paths and their effects on accuracy of bundle adjustments and epipolar models. We analyzed the flight path characteristics in three aspects: body stability, linearity of path and overlap between images. Firstly, in case of the body stability, ideal body stability is defined when images are taken in vertical direction. We calculated the body stability by the photographed angle, which is a difference between the vertical direction and actual photographed direction. Secondly, in case of the linearity of path, we are calculated the residual after fitting ground coordinates of orthogonal UAV positions or image centers by a straight line. Finally, in case of the overlap between images, we selected two closest images along vertical and horizontal direction as a pair and calculated the overlap of the pair on the ground space. We performed bundle adjustments and extracted EOPs(Exterior Orientation Parameters). Using the EOPs, we constructed an orthoimage, a DSM(Digital Surface model), and an epipolar model. By verified orthoimage and DSM, we were able to obtain accuracy of bundle adjustments. We also analyzed y-parallax of epipolar models to obtain its accuracy. Results showed that the body stability show very little affect vertical error of bundle adjustments. In case of linearity of path, there was little effect on the accuracy of bundle adjustment and epipolar models. The overlap between images affected all accuracy of bundle adjustments and epipolar model. The best accuracy was obtained when the overlap was about 70%.
机译:如今,UAV(无人飞行器)正在用于空间信息建设。要构建空间信息,选择适当的数据很重要。因此,在本文中,我们分析了无人机飞行路径的特性及其对束调整和对极模型精度的影响。我们从三个方面分析了飞行路径的特性:机体稳定性,路径的线性和图像之间的重叠。首先,在身体稳定性的情况下,当在垂直方向上拍摄图像时,定义了理想的身体稳定性。我们通过拍摄角度(垂直方向和实际拍摄方向之间的差)计算了人体稳定性。其次,在路径为线性的情况下,我们通过直线拟合正交无人机位置或图像中心的地面坐标后,计算出残差。最后,在图像之间重叠的情况下,我们选择了沿垂直和水平方向的两个最接近的图像作为一对,并计算了该对在地面空间上的重叠。我们进行了束调整并提取了EOP(外部方向参数)。使用EOP,我们构建了正射影像,DSM(数字表面模型)和对极模型。通过验证的正射影像和DSM,我们能够获得束调整的准确性。我们还分析了对极模型的y视差,以获得其准确性。结果表明,车身稳定性几乎没有影响束调整的垂直误差。在路径线性的情况下,对束调整和对极模型的精度影响很小。图像之间的重叠影响束调整和对极模型的所有准确性。当重叠约为70%时,可获得最佳精度。

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