Name
Title | ||
|---|---|---|
Clutter Suppression via Hankel Rank Reduction for DFrFT-Based Vibrometry Applied to SAR. |
Abstract | ||
|---|---|---|
Hankel rank reduction (HRR) is a method that, by prearranging the data in a Hankel matrix and performing rank reduction via singular value decomposition, suppresses the noise of a time-history vector comprised of the superposition of a finite number of sinusoids. In this letter, the HRR method is studied for performing clutter suppression in synthetic aperture radar (SAR)-based vibrometry. Specifi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2750662 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Clutter,Synthetic aperture radar,Vibrations,Chirp,Estimation,Signal to noise ratio,History | Computer vision,Singular value decomposition,Superposition principle,Synthetic aperture radar,Clutter,Signal-to-noise ratio,Chirp,Artificial intelligence,Vibration,Hankel matrix,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 11 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francisco Perez | 1 | 1 | 0.69 |
| Balu Santhanam | 2 | 58 | 9.74 |
| Ralf Dunkel | 3 | 28 | 3.53 |
| Majeed M. Hayat | 4 | 213 | 26.36 |