计算机工程与应用2018，Vol.54Issue(1)：48-53,111,7.DOI:10.3778/j.issn.1002-8331.1608-0322
基于MPI的大规模栅格影像并行瓦片化算法
Parallel raster image tile algorithm based on MPI
摘要
Abstract
The map tiles technology are widely used in WebGIS solutions of the current mainstream GIS software and the Internet map applications, tile processing service is the key technology to realize the fast and seamless browsing on WebGIS. Traditional algorithms and commercial GIS software cannot meet the demand of fast processing large data size raster image tiling. In view of these shortcomings and problems, this paper summarizes the current parallel tiling technology and then puts forward a new parallel raster image tile method which named"ParaTile". ParaTile adopts the shared disk parallel technology, using multi-process to divide the source raster image. Each process of ParaTile is read and written independently to the area that it is owned based on MPIparallel IO function. Finally, each process saves the output tile results independently according to the TMS(Tile Map Service)or the standard made by Google Tile. Experiments are tested by different level size of the remote sensing image, the results show that no matter in speed or stability ParaTile algo-rithm has a great improvement in the same parallel level compared to ArcGIS software, especially the larger size of data the more advantages are.关键词
栅格影像/并行瓦片化/消息传递接口(MPI)Key words
raster image/parallel tile/Message Passing Interface(MPI)分类
信息技术与安全科学引用本文复制引用
刘世永,陈荦,熊伟,吴烨,李军..基于MPI的大规模栅格影像并行瓦片化算法[J].计算机工程与应用,2018,54(1):48-53,111,7.基金项目
国家高技术研究发展计划(863)(No.2015AA123901). （863）
