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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Runpu Chen Weidong Yu Wang, R. Gang Liu Yunfeng Shao |
| Copyright Year | 2004 |
| Abstract | Interferometric phase denoising is a crucial step of interferometric synthetic aperture radar processing flow because it has significant influence on the following steps. Traditional interferometric phase denoising algorithms have a similar drawback that they will wipe off some texture details in phase images while denoising. Nonlocal (NL) means filter, in contrast, can reach a balance between denoising and texture preserving because it utilizes the feature of recursive structures in the whole image. Taking the characteristics of interferometric phase image into consideration, this letter proposes a modified NL means filter algorithm for phase denoising. Moreover, in order to preserve texture to the biggest extent, an iterative algorithm is invented. In the end, experiments on synthetic and real data validate that this algorithm outperforms other traditional denoising methods. |
| Sponsorship | IEEE Geoscience and Remote Sensing Society |
| Starting Page | 826 |
| Ending Page | 830 |
| Page Count | 5 |
| File Size | 2735295 |
| File Format | |
| ISSN | 1545598X |
| Volume Number | 10 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Noise Noise reduction Synthetic aperture radar Remote sensing Estimation error Iterative methods Interferometry nonlocal (NL) Image denoising interferogram interferometric synthetic aperture radar (InSAR) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology |
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