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Appl. Sci. 2017, 7(2), 141; doi:10.3390/app7020141

SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics

1
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
2
School of Civil and Environmental Engineering, Hunan University of Science and Engineering, Yongzhou 425199, China
*
Author to whom correspondence should be addressed.
Academic Editor: Ting-Chung Poon
Received: 21 November 2016 / Revised: 14 January 2017 / Accepted: 17 January 2017 / Published: 4 February 2017
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Abstract

This paper presents a new filtering approach for Synthetic Aperture Radar (SAR) interferometric phase noise reduction in the shearlet domain, depending on the coherent statistical characteristics. Shearlets provide a multidirectional and multiscale decomposition that have advantages over wavelet filtering methods when dealing with noisy phase fringes. Phase noise in SAR interferograms is directly related to the interferometric coherence and the look number of the interferogram. Therefore, an optimal interferogram filter should incorporate information from both of them. The proposed method combines the phase noise standard deviation with the shearlet transform. Experimental results show that the proposed method can reduce the interferogram noise while maintaining the spatial resolution, especially in areas with low coherence. View Full-Text
Keywords: phase filtering; phase statistics; shearlet; coherence; Interferometric SAR (InSAR) phase filtering; phase statistics; shearlet; coherence; Interferometric SAR (InSAR)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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He, Y.; Zhu, J.; Fu, H.; Xie, Q.; Xu, B.; Zhang, B. SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics. Appl. Sci. 2017, 7, 141.

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