基于自适应末端滑膜控制的无人机倾斜摄影测量技术

UAV tilt photogrammetry based on adaptive terminal synovial film control

摘要:

传统的无人机倾斜摄影测量测量数据有效率低，得到的摄影图片清晰度差。为了解决上述问题，基于自适应末端滑膜控制研究了一种新的无人机倾斜摄影测量技术，利用垂直影像摄影，将数据进行初步收集追踪，并对倾斜摄影图像进行记录，结合空中三角测量方法，加强数据自身主导性，同时为无人机监测系统提供较好的数据来源，强化系统内部数据联合功能，在多视影像联合的过程中注意充分考虑影像间的遮挡关系及遮蔽条件，在经过对影像数据的联合收集后，对无人机倾斜摄影数据进行数据匹配操作，提升数据的整合性，并通过数据整理加强摄影影像的可操作性，利用无人机作为影像传输主要载体，进一步加强对倾斜影像的监测，确定影像空间位置，在数据集中的过程中加大滑膜控制，并经过控制点坐标及连接线方位确定辅助数据的具体位置。实验结果表明，基于自适应末端滑膜控制的无人机倾斜摄影测量技术能够得到更加清晰的摄影图片，测量数据的有效率提高了25.21%。

Abstract:

Traditional UAV tilt photogrammetry measurement data has low efficiency, and the obtained photographic pictures have poor sharpness. In order to solve the above problem, a new UAV tilt photogrammetry technology was researched based on adaptive end-sliding film control. Using vertical image photography, data was initially collected and tracked, and the tilt photo images were recorded, combined with aerial triangulation. Method, to strengthen the dominance of the data itself, at the same time provide a better data source for the drone monitoring system, strengthen the system's internal data joint function, and pay attention to fully considering the occlusion relationship and occlusion conditions between the images in the process of multi-view image joint. After the joint collection of image data, data matching operations are performed on the tilted photographic data of the drone to improve the integration of the data, and the operability of the photographic image is enhanced through data collation. The drone is used as the main carrier of image transmission to further Strengthen the monitoring of oblique images, determine the image spatial position, increase the synovial control during the data concentration process, and determine the specific position of the auxiliary data through the coordinates of the control points and the orientation of the connecting lines. The experimental results show that the UAV tilt photogrammetry technology based on adaptive end-sliding film control can obtain clearer photographs, and the efficiency of the measurement data is increased by 25.21%.