基于尺度空间相关的SAR图像NeighShrink滤波算法

李恒超; 洪文; 吴一戎

doi:10.3724/SP.J.1146.2007.00054

基于尺度空间相关的SAR图像NeighShrink滤波算法

doi: 10.3724/SP.J.1146.2007.00054

李恒超^{①②;洪文},
洪文,
吴一戎

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出版历程
- 收稿日期: 2007-01-09
- 修回日期: 2008-01-16
- 刊出日期: 2008-08-19

NeighShrink Despeckling for SAR Images Based on Scale Space Correlation

Li Heng-chao^{①②;洪文},
Hong Wen,
Wu Yi-rong

摘要

摘要: 为有效滤除相干斑噪声和保持图像的结构信息，该文提出了基于尺度空间相关的SAR图像NeighShrink滤波算法。首先，利用所提出的单选择可调参数的尺度空间相关法，检测对数SAR图像经平稳小波变换所得细节子带中分别与噪声相关及与结构信息相关的小波系数。然后，对与噪声相关的小波系数，直接采用NeighShrink算法以获得较好的平滑效果；而对于与结构信息相关的小波系数，则提出加权的NeighShrink算法来达到结构信息保持的目的。仿真实验验证了该文算法的有效性。
- 合成孔径雷达图像; 相干斑噪声; 平稳小波变换; 尺度空间相关
Abstract: To effectively suppress speckle noise and preserve structure information of SAR images, a NeighShrink despeckling based on scale space correlation is proposed in this paper. Firstly, for detail subbands of logarithmically transformed SAR images decomposed by stationary wavelet transform, the single selective scale space correlation with tunable parameter is introduced to separate the wavelet coefficients related to noise and the ones related to structure information. Subsequently, as regards the former, the NeighShrink is directly taken advantage of to obtain good smoothing effect. For the latter, the weighted NeighShrink is proposed to achieve the preservation of structure information. The experimental results verify the validity of the proposed method.

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