基于图形数据差的居民地变化信息提取方法研究

An extracting method for settlement change information based on data delta

作为空间数据库更新的一项关键内容,变化信息的提取直接关系着整个更新工作的效果。居民地是空间实体中变化频率较高的要素,成为空间数据库更新的关注重点。文中针对当前提取方法尚未关注空间实体具体变化的问题,提出一种基于图形数据差的居民地变化信息提取方法。根据图形数据差的分类,实现变化信息的归类,继而通过图形数据差的判别方法,达到居民地变化信息提取的目的。通过实验验证该方法的可行性和有效性。

As a key content of spatial database updating, the extracting of change information is directly related to the effect of updating. The settlement is the element with relatively high change frequency among spatial entities, and has become the focus of spatial database updating. For that the problem of the current extraction method can not pay attention to the detailed change of spatial entities, the extracting method for settlement change information based on data delta is proposed. According to the classification of data delta, the clustering of change information is completed. Then through the determination of data delta, the purpose of the extracting of settlement change information is reached. The feasibility and validity of the method are provd through the practice.