一种新的干涉相位图局部自适应滤波方法

薛海伟; 冯大政

doi:10.11999/JEIT161013

一种新的干涉相位图局部自适应滤波方法

doi: 10.11999/JEIT161013

薛海伟^1, ,,
冯大政¹

基金项目:

国家自然科学基金(61271293)

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- 文章访问数: 994
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- 被引次数: 0
出版历程
- 收稿日期: 2016-09-30
- 修回日期: 2016-11-25
- 刊出日期: 2016-12-19

New Locally Adaptive Method for InSAR Phase Noise Filtering

XUE Haiwei^{1
, ,},
FENG Dazheng¹

Funds:

The National Natural Science Foundation of China (61271293)

摘要

摘要: 为了有效提高对InSAR干涉相位噪声的抑制性能并充分保持干涉相位图细节信息，该文提出一种基于局部地形相位补偿和各向异性高斯滤波函数(AGF)的自适应复相位滤波方法。该方法首先利用局部频率估计方法补偿地形相位，以便于消除局部地形相位对滤波窗口内干涉相位的不利影响。然后，构造了尺度和方向自适应的AGF，并对同分布样本进行局部加权的方向滤波。这里，AGF尺度随相干系数等级自适应变化：在低相干区域，采用的大尺度AGF能够充分地抑制相位噪声；在高相干区域，采用的小尺度AGF能更好地保持相位细节信息。AGF方向根据最大加权相干积累准则确定，以选取同分布的滤波样本估计中心像素相位值。实验结果表明，与多种滤波方法相比，该文方法在减少干涉相位图残点和保持条纹边缘等方面均具有更好的性能。
- 干涉合成孔径雷达 /
- 相位噪声滤波 /
- 相位噪声模型 /
- 频率估计 /
- 各向异性高斯滤波
Abstract: In order to effectively suppress the noise of InSAR phase images and preserve the detailed fringe information, an adaptive phase filtering method based on local slope compensation and the Anisotropic Gaussian Filter (AGF) is proposed. Firstly, the topography-induced phase is approximately measured by local frequency estimation and removed from the original phase to eliminate the effect of the terrain topography. Secondly, the AGF with adaptive scale and orientation is developed to directionally filter out the noisy phase for the pixels with more homogeneous phase values. The scale of the AGF varies adaptively with the local coherence: a large-scaled AGF can better smooth the noise of low coherence areas, whereas a small-scaled AGF can better preserve the phase details of high coherence areas. Moreover, the orientation angle of the AGF is fast determined to select the identically distributed samples according to the maximum weighted coherent summation principle. The experimental results obtained via simulated and real data show that compared with commonly used filters, the proposed method achieves better performance in terms of residue reduction and fringe preservation.
- Interferometric SAR (InSAR) /
- Phase noise filtering /
- Phase noise modeling /
- Frequency estimation /
- Anisotropic Gaussian Filter (AGF)

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参考文献(21)

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