| 引用本文: | 汪洋,黄海风,董臻,等.改进分块局部最佳维纳滤波算法的干涉相位滤波.[J].国防科技大学学报,2015,37(4):99-105.[点击复制] |
| WANG Yang,HUANG Haifeng,DONG Zhen,et al.Modified patch-based locally optimal wiener for interferometric phase filtering[J].Journal of National University of Defense Technology,2015,37(4):99-105[点击复制] |
|
| |
|
|
| 本文已被：浏览 7737次 下载 6078次 |
| 改进分块局部最佳维纳滤波算法的干涉相位滤波 |
| 汪洋1, 黄海风1, 董臻1, 吴曼青1,2 |
|
(1.国防科技大学 电子科学与工程学院， 湖南 长沙 410073;2.
2.中国电子科技集团， 北京 100000)
|
| 摘要: |
| 针对合成孔径雷达干涉相位滤波问题，提出了一种改进的分块局部最佳维纳滤波算法。该算法是加性高斯白噪声下的线性最小均方误差估计，利用目前图像滤波最前沿的技术——非局部技术，来联合估计图像的一、二阶矩。针对干涉相位中噪声的空变性，在应用中提出了两点改进：估计噪声的标准差时，用均值代替中值；根据噪声标准差的最大值和均值的比值，自适应地确定类的数量。仿真和实测数据表明，改进后的分块局部最佳维纳滤波算法是有效的，并优于其他三种算法。 |
| 关键词: 干涉相位滤波 分块局部最佳维纳滤波 线性最小均方误差估计 |
| DOI：10.11887/j.cn.201504017 |
| 投稿日期：2014-10-11 |
| 基金项目:国家自然科学基金资助项目（91438202） |
|
| Modified patch-based locally optimal wiener for interferometric phase filtering |
| WANG Yang1, HUANG Haifeng1, DONG Zhen1, WU Manqing1,2 |
|
(1. College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;2.
2. China Electronics Technology Group Corporation, Beijing 100000, China)
|
| Abstract: |
| Based on the interferometric phase filtering problem of synthetic aperture radar, a modified patch-based locally optimal wiener algorithm was proposed. The proposed algorithm was the linear minimum mean square error estimator under the Gaussian additive noise condition and jointly estimated the first moment and second moment of the image, namely, mean and covariance using non local means which was the state-of-art technique. When applied to interferometric phase filtering, two modifications were proposed according to the spatial variation of the noise. First, mean value, instead of median value, was used in the estimation of the noise standard deviation. Second, the number of clusters was determined adaptively according to the ratio of the maximum value to the mean value of the noise standard deviation. Experimental results on both simulation and real data show that the modified patch-based locally optimal wiener is effective and is superior to the other three algorithms. |
| Keywords: interferometric phase filtering patch-based locally optimal wiener linear minimum mean square estimation |
|
|
|
|
|
