Abstract: Automatic image navigation for remote sensing satellite is used to determine each image pixel’s latitude and longitude automatically.Now this method has been widely used in meteorological，oceanic，resources，environment research fields and thus contribute great social and economic benefits.In this paper，a new automatic image navigation method is introduced for remote sensing satellite based on maximum cross correlation.First，the problem description is presented.Secondly，the whole dataflow for image navigation is introduced.Thirdly，the automatic navigation adjustment model based on maximum cross correlation which is the key step of the whole image navigation is designed and implemented.Finally，the performance is given by testing data through which this method is proved to be effective and of high accuracy.

Key words: remote sensing satellite, automatic image navigation, automatic navigation adjustment model

摘要： 遥感卫星图像自动导航方法用来自动地确定遥感卫星图像中每一个像素的地理经纬度，目前已经在气象、海洋、资源、环境、军事等领域得到了广泛应用，并且产生了巨大的社会和经济效益。介绍了一种新的基于最大相关系数的遥感卫星图像自动导航方法。首先给出了问题的描述；其次介绍了图像自动导航数据流程；然后设计并实现了一种新的基于最大相关系数的自动图像导航方法，它是整个遥感卫星自动导航的关键部分；最后给出了实例，验证了方法的可行性以及高精度。

关键词: 遥感卫星, 自动图像导航, 自动导航调整模型