A Study of Real Time Raster Graphic Visualization Based on Big Data Technology

Abstract

The grid sizes were designed to provide best quality for raster graphics. The grid data was regionally grouped into blocks and stored by partition, providing a data structure suitable for distributed parallel processing. The whole procedure from data query to grid block sub-graphic generation was fully parallel processed by an independently developed cluster, achieving high performance visualization of pixel-level raster graphics under full-HD screen resolution. The solution provides reference for the construction of similar systems.