摘要
目前利用GML实现多源异构移动GIS空间数据资源整合时,存在数据压缩的"瓶颈"问题。在分析移动计算环境中GML数据压缩特性(语义同构、时空拓扑特性保持以及自适应网络流量动态调整压缩结构)的基础上,利用语义编码构造整体空间,并通过语义空间聚类与小波变换分析,构建移动GIS中GML数据压缩模型。实验表明:该压缩模型在压缩比、直接读取压缩数据以及在无线网络上传输压缩数据3方面均具有较好的性能,对移动GIS数据共享集成的理论与技术研究具有一定的参考价值。
Based on the analysis of GML based data compression characteristics among the mobile computing environment：semantics isomorphism, maintain topology of time and space and self--adaptive compression, the method of GML based data compression model is proposed. The model is constructed using semantics coding, semantic space clustering and wavelet analysis. Experimental results show that the compression method in three categories has good basic performance. The GML based data compression technology proposed in this paper has a certain value for the theoretical and technological researches of mobile GIS data sharing.
出处
《地理与地理信息科学》
CSCD
北大核心
2008年第5期21-24,共4页
Geography and Geo-Information Science
基金
南京邮电大学攀登计划项目(NY206074)
虚拟地理环境教育部重点实验室开放基金项目(NS206001)
江苏省测绘科研项目(JSCHKY200707)
关键词
GML
移动GIS
语义同构
时空拓扑保持
自适应压缩
GML
mobile GIS
semantics isomorphism
maintain topology of time and space
self--adaptive compression
