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Efficient In SAR phase noise reduction via total variation regularization

Science China(Information Sciences) 2015年第8期58卷 64-76页

作者： LUO XiaoMei WANG XiangFeng SUO ZhiYong LI ZhenFang State Key Laboratory of Integrated Services Networks Xidian University Department of Electronic Information Engineering Nanchang University Shanghai Key Laboratory of Trustworthy Computing Software Engineering InstituteEast China Normal University National Laboratory of Radar Signal Processing Xidian University

We consider the phase noise filtering problem for Interferometric Synthetic Aperture Radar(In SAR)using a total variation regularized complex linear least squares formulation. Although the original formulation is convex, solving it directly with the standard CVX package is time consuming due to the large problem size. In this paper, we introduce the effective and efficient alternating direction method of multipliers(ADMM) to solve the equivalent well-defined complex formulation for the real and imaginary parts of the optimization *** the iteration complexity and the computational complexity of the ADMM are established in the forms of theorems for our In SAR phase noise problem. Simulation results based on simulated and measured data show that this new In SAR phase noise reduction method not only is 3 orders of magnitude faster than the standard CVX solver, but also has a much better performance than the several existing phase filtering methods.

关键词： interferometric synthetic aperture radar phase noise reduction total variation regularization least squares formulation alternat

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noise reduction for InSAR phase Images Using BM3D

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Chinese Journal of Electronics 2014年第2期23卷 329-333页

作者： ZHANG Wenge ZHANG Qin ZHAO Chaoying YANG Chengsheng ZOU Weibao College of Geology Engineering and Geomatics Chang'an University Key Laboratory of Western China's Mineral Resources and Geological Engineering Ministry of Education Chang'an University

This paper extends the application of Block-matching(BM) and 3D transform-domain collaborative filtering(BM3D) to the noise reduction in Interferometric synthetic aperture radar(In SAR) phase imagery,and proposes a denoising algorithm which can effectively remove noise and preserve fringes. Since the noise level estimated by a median estimator is not always optimal for proposed algorithm in wavelet domain, a method of calculating optimal noise standard deviation is also *** proposed algorithm is efficient and robust. Experimental results show that the visual quality and evaluation indexes of proposed algorithm outperform other filters for both simulated and real In SAR images.

关键词： Image processing Interferometric synthetic aperture radar(In SAR) phase noise reduction Block-matching(BM) Wavelet transform

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