摘要
首先介绍了SAR图像的特点,在对离散脊波变换的正交性及其与Radon变换的关系深入研究的基础上,利用其在线性特征表示方面的优势,将离散脊波变换应用到SAR图像的压缩,提出了一种基于离散正交脊波变换的SAR图像压缩方法。实验数据表明该算法对斑点噪声污染严重的SAR雷达图像压缩较传统的小波变换更加有效。
Accordingto the characteristics of noise in SAR, the ridgelet theory, which has been hot research field for its superiority in line feature, was introduced to SAR image compressing. After analyzing the traditional method based on wavelet in detail, a new ridgelet-based compressing approach was proposed. Finally, experimental results demonstrate its good performance, especially for urban SAR image.
出处
《计算机应用》
CSCD
北大核心
2007年第5期1132-1134,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(60472084)
陕西省教育厅自然科学基金资助项目(05JK312)
咸阳师范学院科研基金资助项目(06XSYK108)
关键词
脊波变换
小波变换
SAR图像
压缩
ridgelet transformation
wavelet transformation
SAR image
Compressing
