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| Content Provider | IET Digital Library |
|---|---|
| Author | Zeng, Tao Liu, Tiandong Ding, Zegang Zhang, Qi Long, Teng |
| Abstract | In highly sloped terrain, the interferometric phase gradients of the adjacent pixels are more than π. Therefore, the conventional phase unwrapping methods cannot correctly obtain the absolute phase. To solve this problem, a phase unwrapping method based on multi-frequency interferometric synthetic aperture radar (MF-InSAR) is proposed. In this method, a joint probability density function based on MF-InSAR is established to estimate the phase gradient in highly sloped terrain, and thanks to the small changes of the phase gradient differences between adjacent pixels, an adjacent set of the phase gradient is further proposed to improve the robust of this algorithm. After the reconstruction of phase gradients, the branch-cut phase unwrapping method is used to obtain the ultimate absolute interferometric phase. Computer simulation proves the proposed method can correctly obtain the absolute interferometric phase in highly sloped terrain, which makes further efforts to acquire a better reconstruction accuracy of DEM. |
| Starting Page | 1058 |
| Ending Page | 1059 |
| Page Count | 2 |
| ISSN | 00135194 |
| Volume Number | 52 |
| e-ISSN | 1350911X |
| Issue Number | Issue 12, Jun (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/el/52/12 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/el.2015.3795 |
| Journal | Electronics Letters |
| Publisher Date | 2016-05-16 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Absolute Interferometric Phase Adjacent Pixel Branch-cut Phase Unwrapping Method Computer Simulation Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics DEM Reconstruction Accuracy Digital Elevation Model Geophysical Image Processing Geophysical Technique And Equipment Highly-sloped Terrain Image Reconstruction Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Interferometric Phase Gradient Joint Probability Density Function MF-InSAR Multifrequency InSAR Multifrequency Interferometric Synthetic Aperture Radar Optical, Image And Video Signal Processing Phase Gradient Difference Phase Gradient Estimation Phase Gradient Reconstruction Probability Probability Theory Radar Equipment Radar Imaging Radar Interferometry Statistics Stochastic Linearised SCUC Synthetic Aperture Radar System And Application Terrain Mapping |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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