Development of a simulation platform based on error sensitivity analysis

摘要

In scene matching, it is important that the quality of real-time image and the matching algorithm impact on the matching results. The focus is on the study of the factors influence to scene matching. In this paper, a digital simulation platform is presented, it is used to generate simulation real-time image, and the simulation study is performed with the above requirements. To develop such a platform, many error sources need to be analyzed and modeled firstly. Then the real-time image selection criteria, which are summarized from the existing real-time images, can be used to selection of real-time image. Finally, plenty of scene matching algorithms have been exerted to compare/analyze the simulation results. The experiments show that the reliability of selection criteria can reach 90% at least, and if the algorithm is combined with preprocess algorithm, the reliability can reach up to 95%. And zoom factor is the most remarkable one in those factors of influencing the matching result. The influence of existing algorithms is discussed in some detail.