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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ferraioli, G. Shabou, A. Tupin, F. Pascazio, V. |
| Copyright Year | 2004 |
| Abstract | Markovian approaches have proven to be effective for solving the multichannel phase-unwrapping (PU) problem, particularly when dealing with noisy data and big discontinuities. This letter presents a Markovian approach to solve the PU problem based on a new a priori model, the total variation, and graph-cut-based optimization algorithms. The proposed method turns out to be fast, simple, and robust. Moreover, compared with other approaches, the proposed algorithm is able to unwrap and restore the solution at the same time, without any additional filtering. A set of experimental results on both simulated and real data illustrates the effectiveness of our approach. |
| Sponsorship | IEEE Geoscience and Remote Sensing Society |
| Starting Page | 562 |
| Ending Page | 566 |
| Page Count | 5 |
| File Size | 486549 |
| File Format | |
| ISSN | 1545598X |
| Volume Number | 6 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Synthetic aperture radar interferometry Markov random fields Telecommunications Phase noise Robustness Filtering algorithms Synthetic aperture radar Phase estimation Phase measurement Optimization methods multichannel synthetic aperture radar (SAR) interferometry Graph cuts Markov random field |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology |
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