Least squares-based filter for remote sensing image noise reduction

被引：47

作者：

Li, Zhi-Wei ^{[1
]}

Ding, Xiao-Li ^{[1
]}

Zheng, Da-Wei ^{[2
]}

Huang, Cheng ^{[2
]}

机构：

[1] Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China

[2] Chinese Acad Sci, Shanghai Astron Observ, Ctr Astrogeodynam Res, Shanghai 200030, Peoples R China

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2008年 / 46卷 / 07期

基金：

中国国家自然科学基金;

关键词：

least squares; synthetic aperture radar (SAR); Vondrak filter; 2-D filter;

D O I：

10.1109/TGRS.2008.916981

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：

The Vondrak filter is a unique technique for smoothing data. The filter aims to achieve a balance between the fidelity and the smoothness of the filtered results. It can therefore preserve the original attributes of the observational data while, at the same time, smooth out the noise. We reformulate the I-D Vondrak filter that has been widely used in data processing in fields such as astronomy and geophysics and then extend it into two dimensions. The method of conjugate gradients is used to solve the least squares optimization problem. The proposed 2-D filter is a powerful tool for enhancing the quality of various geoscience and remote sensing data such as satellite images. Various tests with simulated and real synthetic aperture radar interferograms show that the new filter is very effective in removing the noise.

引用

页码：2044 / 2049

页数：6

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