Name
Abstract | ||
|---|---|---|
Synthetic aperture radar (SAR) tomography is a 3-D imaging modality that is commonly tackled by spectral estimation techniques. Thus, the backscattered power along the cross-range direction can be readily obtained by computing the Fourier spectrum of a stack of multibaseline measurements. In addition, recent work has addressed the tomographic inversion under the framework of compressed sensing, th... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TGRS.2012.2231081 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Tomography,Synthetic aperture radar,Covariance matrix,Wavelet transforms,Sensors,Estimation,Power distribution | Computer vision,Spectral density estimation,Polarimetry,Computer science,Vertical direction,Remote sensing,Tomography,Parametric statistics,Artificial intelligence,Fourier spectrum,Compressed sensing,Wavelet | Journal |
Volume | Issue | ISSN |
51 | 12 | 0196-2892 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Esteban Aguilera | 1 | 35 | 2.44 |
| Matteo Nannini | 2 | 143 | 15.30 |
| Andreas Reigber | 3 | 670 | 70.53 |