With the rapid development of network technology,traditional client/server(C/S)architecture of the desktop version of GIS applications have been gradually to the use of browser/server(B/S)architecture WebGIS.B/S architecture because of its free instal-lation,simple operation,suitable for processing large data,B/S mapping model becomes more and more popular,and gradually become the mainstream.At the same time,with the development of satellite technology,the time and spatial resolution of remote sensing im-ages have been substantial increased.Traditional large-scale image data tiling process is slow,can not meet the rapid data release requirements of WebGIS application.Therefore,it is significant to realize the fast tiling technology of large-scaled image in the WebGIS.Based on the above problems,in order to speed up the image data tiling speed,this paper discusses the method that how to reduce the computation of the algorithm and the IO time consuming by the high performance computing technology.Specific research work is as follows:First,to solve the problem of large single image data Rapid tiling,this paper propose the parallel image pyramid building algorithm and the image data rapid slicing algorithm.Through the two parallel algorithm we achieve the image pyramid and the pyramid of tiles Quick Generation technology in single large image.Second,solving the problem of fast image dataset tiling.The fast image dataset tiling technology has a very wide range of requirements for the Department of Surveying and mapping,the map area may be covered by several maps,so how to quickly get the intersection,fast split and tiling it is a difficulty.This paper realizes a fast tile image technology.The experimental results show that the proposed method can greatly improve the efficiency of land surveying and mapping departments. |