New Locally Adaptive Method for InSAR Phase Noise Filtering

XUE Haiwei; FENG Dazheng

doi:10.11999/JEIT161013

Volume 38 Issue 12

Jan. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3085-3092

XUE Haiwei, FENG Dazheng. New Locally Adaptive Method for InSAR Phase Noise Filtering[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3085-3092. doi: 10.11999/JEIT161013

Citation:

XUE Haiwei, FENG Dazheng. New Locally Adaptive Method for InSAR Phase Noise Filtering[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3085-3092. doi: 10.11999/JEIT161013

XUE Haiwei, FENG Dazheng. New Locally Adaptive Method for InSAR Phase Noise Filtering[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3085-3092. doi: 10.11999/JEIT161013

Citation:

XUE Haiwei, FENG Dazheng. New Locally Adaptive Method for InSAR Phase Noise Filtering[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3085-3092. doi: 10.11999/JEIT161013

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New Locally Adaptive Method for InSAR Phase Noise Filtering

doi: 10.11999/JEIT161013

XUE Haiwei^{1
,
,},
FENG Dazheng¹

Funds:

The National Natural Science Foundation of China (61271293)

Received Date: 2016-09-30
Rev Recd Date: 2016-11-25
Publish Date: 2016-12-19

Abstract

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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References(21)

References

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