Name
Title | ||
|---|---|---|
Nonlocal SAR Interferometric Phase Filtering Through Higher Order Singular Value Decomposition |
Abstract | ||
|---|---|---|
Interferometric phase filtering is an indispensable step to obtain accurate measurement of digital elevation model and surface displacement. In the case of low-correlation or complicated topography, traditional phase filtering methods fail in balancing noise elimination and phase preservation, which leads to inaccurate interferometric phase. A new nonlocal interferometric phase filtering method taking advantage of higher order singular value decomposition (HOSVD) is proposed in this letter. For each pixel of the interferometric phase, a 3-D data array is established, and shrinkage is applied after HOSVD. A Wiener filter is used to improve the denoising performance in the end. Simulated and real data are employed to validate that the proposed method outperforms other traditional methods and some of the state-of-the-art nonlocal methods. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2014.2362952 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
nonlocal sar interferometric phase filtering method,synthetic aperture radar,wiener filters,higher order singular value decomposition (svd) (hosvd),interferometric synthetic aperture radar (sar) (insar),3d data array,nonlocal,denoising performance,insar,higher order singular value decomposition,filtering theory,radar interferometry,wiener filter,singular value decomposition,phase filtering,shrinkage,noise,noise measurement,noise reduction,coherence,estimation,tensile stress | Noise reduction,Wiener filter,Computer vision,Noise measurement,Synthetic aperture radar,Remote sensing,Filter (signal processing),Coherence (physics),Pixel,Artificial intelligence,Higher-order singular value decomposition,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 4 | 1545-598X |
Citations | PageRank | References |
3 | 0.41 | 22 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue Lin | 1 | 3 | 1.43 |
| Fangfang Li | 2 | 5 | 4.24 |
| Dadi Meng | 3 | 13 | 2.70 |
| Donghui Hu | 4 | 171 | 16.73 |
| Chibiao Ding | 5 | 223 | 33.52 |