基于全球剖分模型的遥感影像变化区域表达和分发

Representation and Distribution of Changed Area of Remote Sensing Images Based on Global Subdivision Grid

很多遥感影像应用的情况下,用户需要及时获取最新的影像,其中优先级最高的应是影像的变化区域;对于那些没有变化或变化不重要的区域,则没有必要立刻传输最新时相的影像。根据上述思路,基于地图分幅拓展的全球剖分模型,利用剖分面片管理多时相的影像数据,并将其中的变化区域表达为最小外包面片(MBC)的集合。影像更新时只需传输变化区域MBC集合中的影像面片,从而减少影像更新时的数据传输负担。该文实现了影像分发平台,对MBC方法进行了验证,试验表明利用MBC进行影像变化区域表达能够满足降低数据传输负担的要求。

Remote sensing images have been widely used in various fields,and the updating of the newest images has become an important problem.The changed areas are usually most needed during image distribution,which should have higher priority.With the support of Global Subdivision Grids based on Extended Mapping Division and its coding rule,a method of representation of changed areas by Minimum Bounding Cells（MBC） was put forward in this paper.The data structure,as well as generation and search algorithms of MBC were designed and implemented in an image distribution platform. The MBC method was proved to have the capability of decreasing the transmission data quantity by the experiments carried out under different networks.