Orientation of Small UAV Images with Constraint

Abstract

Unmanned aerial vehicle (UAV) platform, especially in image acquisition, has the advantages of low cost and convenience compared with other sensors platform. Due to the limitation of platform load and cost, small UAV integrated positioning and orientation system (POS) has low accuracy, which makes it difficult to accurately reconstruct the geometric position and attitude of the sensor at the imaging time. For this reason, this paper proposes an angle consistent constraint algorithm to improve the accuracy of exterior orientation parameters. In this paper, the small UAV images measured in the field are used for experiments, and the results show that the constraint algorithm can achieve high accuracy when the number of control points is small and the accuracy of initial values is low, which greatly expands the application space of images.