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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sun Long Zhang Ctaangyao Hu Maolin |
| Copyright Year | 2006 |
| Description | Author affiliation: East China Res. Inst. of Electron. Eng., Hefei (Sun Long; Zhang Ctaangyao) |
| Abstract | The phase noise-suppressing method applied on the interferogram of interferometric synthetic aperture radar (InSAR) is studied. Filtering phase noise in an interferogram is an important aspect in InSAR data processing. But any improper altering of the wrapped phase may influence the quality of derived DEM because the interferometric phase contains the topographic information. Therefore, one of the difficulties in phase noise filtering is how to remove the noise and preserve the spatial resolution effectively. In this paper, an adaptive approach based on nonlinear partial differential equations (PDE) is presented for removing the noise in the interferogram. Finally, this approach is compared with some existing approaches for InSAR noise filtering and the experimental results by processing spaceborne and airborne data are used to confirm that the method is more effective in reducing noise in the interferogram |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 3570905 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780395824 |
| DOI | 10.1109/ICR.2006.343556 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Phase noise Partial differential equations Nonlinear filters Filtering Synthetic aperture radar interferometry Spatial resolution Noise reduction Anisotropic magnetoresistance Spaceborne radar Signal to noise ratio anisotropic diffusion noise-suppressing InSAR Partial Differential Equations |
| Content Type | Text |
| Resource Type | Article |
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