摘要
利用提升法对传统小波进行提升,将提升小波对雷达影像进行分解,形成子带影像,再将子带影像进行脊波变换,并对变换结果进行消噪处理,然后进行脊波逆变换和提升小波重构,得到新的雷达影像。试验结果表明:基于提升小波分解的曲波变换比传统小波分解的曲波变换对雷达影像消噪效果好,同时与传统的均值滤波相比效果更好。
A new de-noises way is provided. Traditional wavelet is promoted by lifting scheme, lifting wavelet is used to decompose radar image into sub-band images, and then sub-band images are transformed by ridgelet to new sub-band images. Then, new-band images are de-noised and reconstructed by ridgelet and lifting wavelet to new image. Experimental results demonstrate that curvelet transformation algorithm based on lifting wavelet decomposition has a better efficiency than the curvelet transform algorithm of traditional wavelets decomposition in radar image de-noising. Algorithm of lifting wavelet decomposition is better than traditional average value filter in radar image de-noising.
出处
《地球科学与环境学报》
CAS
2008年第3期326-330,共5页
Journal of Earth Sciences and Environment
基金
国家科技支撑计划项目(2006BAB07B01-02)
关键词
曲波变换
提升小波
消噪
雷达影像
eurvelet transformation
lifting wavelet
de-noise
radar image
作者简介
田养军（1964-），男，陕西蓝田人，讲师，从事遥感应用研究。E-mail：yangjunt@chd．edu．cn
