摘要
影响WebGIS传输性能的因素很多,特别是在网络带宽不高或服务请求数较多时,GIS数据的网络传输延时会急剧增大。针对GML地图格式文件,提出了一种数据驱动的分类GML压缩方法CGDC(classified GML data compression),用以区分结构数据和值数据,并验证其有效性。针对栅格GIS数据,根据数据量大小,通过实验验证如何采用瓦片式技术提高数据传输效率。
There are many factors that affect the transmission performance of WebGIS, the network transmission delay of GIS data increases considerably especially when the network bandwidth is low or the number of service requests is more. For GML map format, this paper proposes a data-driven classified GML compression CGDC (classified GML data com-pression) which distinguishes the structural data and value data, verifies its effectiveness. For raster data, according to the data size, it verifies how to use tile-based technology to improve data transmission efficiency by experiment.
出处
《计算机科学与应用》
2012年第1期40-46,共7页
Computer Science and Application
基金
国家自然科学基金委员会(GrantNo:61070174)
东南大学计算机网络和信息集成教育部重点实验室开放研究基金(grantNo:k939201003)资助。
