期刊论文

Guo, J.(jmguo@sgg.whu.edu.cn)

中文

武汉大学学报(信息科学版)

1671-8860

2014

39

4

422-427

10.13203/j.whugis20120013

中央高校基本科研业务费专项资金资助项目（2012214020209） 湖南省教育厅科研基金资助项目（12C0566） 湖南省高等学校科学研究资助项目（10A018）

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基于二维经验模态分解特性,提出了一种基于BEMD-自适应滤波的干涉图抑制噪声算法,并对自适应滤波的窗口进行了改进。根据窗内特征自适应调节窗口大小,并通过门限来决定是否需要改变窗口尺寸,达到在同性质区增大窗口来抑制噪声,在异性质区减小窗口以最大限度地保护图像细节的目的。实验表明,该算法不仅能有效地抑制干涉图的噪声,增强滤波的局部自适应性,而且能很好地保持条纹的细节信息。

A new adaptive filter based on empirical mode decomposition based on different characteristics of signal with noise in different IMFS for suppressing speckle in SAR interferograms is proposed. At first, empirical mode decomposition is used to divide signal and processed high-frequency IMF signals separately by adaptive filtering The denoising effect of the proposed method, the usual filter and a multiscale BEMD filter were investigated by experiment. When the part related to the speckle is subtracted from the original interferogram, speckle noise is reduced. The results are compared with the f...