摘要
针对RDSS系统对高程数据的应用需求,采用了对高程数据按地形分类抽取和压缩方法,设计了数据文件内数据的分块组织存储、四叉树索引和文件分级管理模型,提出了双线性内插法、双三次内插法、移动曲面内插法相结合的数据拟合和提取方法.实验结果表明,文中提出的高程数据库应用模型可以有效减少高程数据量,控制精度损失,并提高数据检索的速度,满足RDSS系统的要求.
According to application requirement for elevation data in RDSS, this paper has presented a method which adopted terrain classified data extraction and compression for elevation data. A model with data block organization and storage in data files, quad-tree indexing and file classification management has been designed in this paper. A method of data fitting and extraction combining bilinear interpolation, bicubic interpolation and moving surface interpolation has been proposed. Experiment result illustrates that the elevation database application model referred in this paper will reduce the elevation data amount effectively, regulate the precision loss, speed up data searching and accord with the requirement of RDSS.
出处
《微电子学与计算机》
CSCD
北大核心
2012年第5期161-164,169,共5页
Microelectronics & Computer