期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：1992
卷号：XXIX Part B3
页码：375-378
出版社：Copernicus Publications
摘要：In modern navigation and guidance systems, image matching is often used as an efficient approachto increase the registration accuracy. Acquisition probability of image matching is one of the mostimportant parameters in registration accuracy analysis of image matching. It represents the correctnessof the position estimated by the navigation and guidance system with respect to the real position inflight. For example, in missile homing guidance, it is the probability of hitting a target. So, it isthe main basis for designing a navigation and guidance system. In image matching, Mean AbsoluteDifference (MAD) is one of the most often used algorithms. It has a lot of advantages such as highregistration accuracy, high noise robustness and can be easily realized by hardware etc. In this paper,first, the acquisition probability for the MAD algorithm is derived based on the image pixel-correlationmodel. Then, in order to evaluate the value of acquisition probability for the MAD algorithm, anapproximation formula is given. Finally, the experiments with different optical aerial photographsand infrared remoted sensing photographs have been conducted on a IBM-PC microcomputer systemand a 8575 image processing system. By the experimental comparion to the evaluation of Johnsonit is demonstrated that the evaluation of acquisition probability for the MAD algorithm proposed inthis paper is more accurate and close to the real acquisition probability.
关键词：accuracy; image matching; navigation and registration
