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Sensors 2016, 16(11), 1976; doi:10.3390/s16111976

Improved Goldstein Interferogram Filter Based on Local Fringe Frequency Estimation

School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Electronic and Electrical Engineering Department, University of Sheffield, Sheffield S1 3JD, UK
Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 11 August 2016 / Revised: 12 November 2016 / Accepted: 14 November 2016 / Published: 23 November 2016
(This article belongs to the Section Remote Sensors)
View Full-Text   |   Download PDF [3264 KB, uploaded 23 November 2016]   |  


The quality of an interferogram, which is limited by various phase noise, will greatly affect the further processes of InSAR, such as phase unwrapping. Interferometric SAR (InSAR) geophysical measurements’, such as height or displacement, phase filtering is therefore an essential step. In this work, an improved Goldstein interferogram filter is proposed to suppress the phase noise while preserving the fringe edges. First, the proposed adaptive filter step, performed before frequency estimation, is employed to improve the estimation accuracy. Subsequently, to preserve the fringe characteristics, the estimated fringe frequency in each fixed filtering patch is removed from the original noisy phase. Then, the residual phase is smoothed based on the modified Goldstein filter with its parameter alpha dependent on both the coherence map and the residual phase frequency. Finally, the filtered residual phase and the removed fringe frequency are combined to generate the filtered interferogram, with the loss of signal minimized while reducing the noise level. The effectiveness of the proposed method is verified by experimental results based on both simulated and real data. View Full-Text
Keywords: interferometric synthetic aperture radar (InSAR); Goldstein interferogram filter; local fringe frequency estimation interferometric synthetic aperture radar (InSAR); Goldstein interferogram filter; local fringe frequency estimation

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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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Feng, Q.; Xu, H.; Wu, Z.; You, Y.; Liu, W.; Ge, S. Improved Goldstein Interferogram Filter Based on Local Fringe Frequency Estimation. Sensors 2016, 16, 1976.

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