【摘要】 遥感影像的数据量是相当的庞大的,并且一些实体的形状也是各异的,这导致了利用GIS现有空间查询接口进行海量遥感栅格数据库检索效率低下的问题。为了提高查询效率,必须增多限制条件来减少候选关系。本文提出了一种基于最小外接矩形(MBR)和最大内接矩形(IR)的空间拓扑关系查询的方法。研究表明任何一种单一的限制条件(如最小包围矩形--MBR、格网)在空间数据检中都具有一定的局限性,只有综合多种限制条件才能达到较好的效果,而通过增加限制条件来检索可以减少错误采样点的出现,提高检索效率。更多还原

【Abstract】 Remote sensing image data is very huge,and some entities’ shapes also various,which leads to the inefficiency of retrieving image on magnanimous remote sensing raster database by some GIS spatial query interface. To improve the efficiency of inquiries,we should increase restrictions to reduce the candidate relations.In this paper,an approach based on MBR and IR(Maximum Internal Rectangular)by topological relations is given.Research shows that no single constraints such as the Minimum Bounding Rectangles-MBR and the grid in the seizure of spatial data have certain limitations,only a combination of restrictions can achieve good results,and by increasing restrictions to reduce the sampling error,retrieval efficiency will improve.更多还原