摘要
分析了小波基的基本性质,简述了在遥感图像小波压缩中小波基选择的常用方法;分别用4种常用的典型小波基对8幅含有不同典型地物的遥感图像进行小波编码实验,并用5种方法全面评价了小波基的应用效果。结果表明,在遥感图像小波压缩中,D(9,7)小波基的应用效果最好。据此,提出了一种小波基选择的改进方法。
In this paper, basic characteristics of the wavelet base are analyzed, and a common method for choosing wavelet bases in compression of the remote sensing image based on wavelet transform is described briefly. Eight images with different representative ground objects were respectively compressed with four kinds of representative wavelet bases in a wavelet transform coding experiment. The application effects of these wavelet bases were evaluated by five methods. The results show that the application effect of wavelet base D （9, 7） is the best. On such a basis, an improved method for choosing wavelet bases is proposed.
出处
《国土资源遥感》
CSCD
2008年第3期27-31,共5页
Remote Sensing for Land & Resources
关键词
小波基
编码
遥感图像
质量评价
Wavelet base
Coding
Remote sensing image
Quality evaluation
