近年来遥感技术及遥感信息产业化发展迅猛 ,但遥感信息的不确定性制约着遥感信息的产品化和实用化的进一步发展。虽然 ,这一问题得到了国内外众多学者的关注 ,并提出和采用相关理论和方法进行分析 ,取得了相当的进展 ,但这些方法在分析遥感信息不确定性时忽略了一个重要的研究点 :遥感信息的不确定性传递机理。本文主要目标就是建立一套遥感信息不确定性的处理方法

To date, Remote Sensing technologies have been applied to environmental management, monitoring and control. Remote Sensing technologies are also being applied to monitor land desertification, land use cover, environment pollution, etc. Due to limitations in instrument and processing technology in RS, system errors and measurement errors may corrupt the data. Errors may be associated with both attribute value and its location. After collecting spatiald ata, we then need to process, analyze and convert the data in order to make RS information understandable to users. When we produce the final RS products, new errors can be created as a result of spatial operations on maps or images that contain errors (spatial error propagation). If we ignore these errors in the RS products, it can result in economic loss. Though, the uncertainty of remote sensing information has been a hotspot in the spatial information process and many research have provided us lots of valuable results, however very few of them is on the mechanism based. The existing methods applied to the uncertainty analysis of RS will lead to the blind spot where uncertainty could not be analyzed,and uncertainty in subsequent image product will be propagated, tracked and quantified inconveniently. In this paper, we propose a framework to deal with these problems.