Noise reduction in interferograms using the wavelet packet transform and Wiener filtering

被引：47

作者：

Zha, Xianjie ^{[1
]}

Fu, Rongshan ^{[1
]}

Dai, Zhiyang ^{[1
]}

Liu, Bin ^{[1
]}

机构：

[1] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2008年 / 5卷 / 03期

基金：

中国国家自然科学基金;

关键词：

interferometric synthetic aperture radar (InSAR); noise reduction; wavelet packet transform (WPT); Wiener filtering;

D O I：

10.1109/LGRS.2008.916066

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A novel noise reduction scheme for synthetic aperture radar (SAR) interferograms based on the wavelet packet transform (WPT) and the Wiener filter is introduced in this letter. First, by employing the WPT in the spatial frequency domain, the real and imaginary parts of the complex noisy interferogram are decomposed, respectively, and the wavelet coefficients are obtained. Then, for these coefficients, Wiener filtering is adopted to remove noise. This scheme can filter noise adaptively according to the local noise level, without requiring any a priori information. By using a simulated noisy interferogram and two ENVISAT Advanced Synthetic Aperture Radar C-band interferograms, the performance of this scheme, in terms of noise reduction and fringes preservation, is reported and compared with other filter algorithms. The experimental results demonstrate the effectiveness of the proposed scheme.

引用

页码：404 / 408

页数：5

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