摘要
根据地理信息系统中数字高程模型(DEM)的特点,提出一种基于小波变换的DEM数据压缩方法.文中主要研究了小波滤波器的选取、最优标量量化器的设计等问题,并对DEM小波分解系数进行了深入的分析.同时,应用该方法对实验DEM数据进行测试.结果表明,该方法较其他方法更为有效,能够在取得大压缩比的同时,有较好的数据恢复质量.
According to the characteristics of digital elevation models ( DEM) in geographic information system (GIS) , a DEM compressing method based on wavelet transform is put forward. Methods to select wavelet filter and to design optimum scale quantizer are presented. Furthermore, wavelet coefficients of DEM are analyzed deeply. The experimental DEM data are tested with this method; the testing results show that the algorithm is feasible and valid, and that the data reconstruction quality is satisfactory even when the compressing ratio is high.
出处
《信息与控制》
CSCD
北大核心
2004年第3期337-341,共5页
Information and Control
基金
辽宁省自然科学基金资助项目(20022032)
关键词
小波变换
数字高程模型
数据压缩
标量量化
wavelet transform
digital elevation model (DEM)
data compression
scalar quantization
