Computing Aggregate Queries in Raster Image Databases Using Pre-Aggregated Data
Peter Baumann · 2008
Computing multidimensional aggregates in raster image databases is a challenging task for geo- raster applications. In this paper, we exploit the tech- niques in OLAP to speed up aggregate query process- ing in raster image databases. We focus on a special case of the aggregation problem: computation of the basic aggregation functions add, average, count, max- imum, and minimum. Experimental evaluation shows that the application of the pre-aggregation framework and the resulting algorithms give much better perfor- mance compared to straightforward methods.