无人机航摄影像的RANSAC自动定向方法研究

针对无人机在区域范围拍摄的低空遥感影像数量多,且相邻影像间存在旋转、尺度变化大等导致的立体定向困难问题,本文提出一种适用于无人机影像自动相对定向及模型连接的流程。即利用SURF算法对区域无人机影像进行特征提取后,连续相对定向及模型连接过程使用结合相对定向模型的RANSAC算法去除错匹配点,并针对RANSAC算法选取样本匹配点对容易陷入局部最优问题进行改进,提高了结果精度。

An UAVAerial Image Automatically Directed Method by RANSAC

According to the number of low-altitude UAV remote sensing images always large and image distortion as a result of the rotation and scaling difference between neighboring images, we propose a low-altitude UAV remote sensing images suitable for high-precision automatic relative orientation and models connection.In this paper, SURF algorithm is used to extract multiple low-altitude remote sensing image feature points, then during relative orientation adoption and models connection we use the RANSAC algorithm to remove the wrong match points, and improve the problem of RANSAC algorithm which is easy to fall into local optimization, which can improve the results accuracy.