Xu, H., Li, Z., Li, S. et al. (4 more authors) (2021) Nonlocal noise reduction method based on fringe frequency compensation for SAR interferogram. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14. pp. 9756-9767. ISSN 1939-1404
Abstract
Phase noise reduction is one of the key steps for synthetic aperture radar interferometry data processing. In this article, a novel phase filtering method is proposed. The main innovation and contribution of this research is to 1) incorporate local fringe frequency (LFF) compensation technique into the nonlocal phase filtering method to include more independent and identically distributed samples for filtering; 2) modify the nonlocal phase filter from three aspects: 1) executing nonlocal filtering in the complex domain of the residual phase to avoid gray jumps in phase, 2) adaptively calculating the smoothing parameter based on the LFF and the coherence coefficient, and 3) using the integral image in similarity calculation to improve the efficiency; 3) perform Goldstein filter in high coherence areas to reduce the computation expense. Experiments based on both simulated and real data have shown that the proposed method has achieved a better performance in terms of both noise reduction and edge preservation than some existing phase filtering methods.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | Phase noise reduction; Nonlocal filtering; Fringe frequency estimation |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Sep 2021 13:28 |
Last Modified: | 19 Oct 2021 16:44 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/jstars.2021.3112588 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178328 |