首页 | 官方网站   微博 | 高级检索  
     

基于提升小波分解曲波变换的雷达影像消噪法
引用本文:田养军,薛春纪.基于提升小波分解曲波变换的雷达影像消噪法[J].延边大学理工学报,2008,0(3):326-330.
作者姓名:田养军  薛春纪
作者单位:1.长安大学地球科学与资源学院,陕西西安710054;2.中国地质大学地质工程与矿产资源图像重点实验室,北京100083
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。

关 键 词:曲波变换  提升小波  消噪  雷达影像

Radar Image De-noise Method Based on Lifting Curvelet Transformation of Wavelet Decomposition
TIAN Yang-jun,XUE Chun-ji.Radar Image De-noise Method Based on Lifting Curvelet Transformation of Wavelet Decomposition[J].Journal of Yanbian University (Natural Science),2008,0(3):326-330.
Authors:TIAN Yang-jun  XUE Chun-ji
Affiliation:1. School o f Earth Sciences and Resources, Changan University, Xian 710054, Shaanxi, China; 2. Key Laboratory o f Mining Resources Remote Sensing Image and Geological Engineering, China University o f Geosciences, Beijing 100083, China)
Abstract: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.
Keywords:curvelet transformation  lifting wavelet  de-noise  radar image
点击此处可从《延边大学理工学报》浏览原始摘要信息
点击此处可从《延边大学理工学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号