Development of a simulation platform based on error sensitivity analysis

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 first. 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 e4xerted to compare/analyze the simulation results. The experiments show that the reliability of selection criteria can reach 90 percent at least, and if the algorithm is combined with preprocess algorithm, the reliability can reach up to 95 percent. 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.