Name
Abstract | ||
|---|---|---|
A novel approach to nonparametric entropy-based autofocusing of inverse synthetic aperture radar images is proposed. Kinematics considerations show that the range cell corresponding to the target rotation center has a purely translational Doppler phase. This range cell can be selected by means of entropy criteria, and its phase component used as a measurement of the translational Doppler phase. Co... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2855196 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Entropy,Doppler effect,Radar imaging,Indexes,Imaging,Robustness | Doppler centroid,Computer vision,Radar imaging,Kinematics,Automatic target recognition,Nonparametric statistics,Robustness (computer science),Inverse synthetic aperture radar,Artificial intelligence,Doppler effect,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 11 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dario Ligori | 1 | 0 | 0.34 |
| Simon A. Wagner | 2 | 3 | 0.80 |
| Luca Fabbrini | 3 | 4 | 0.68 |
| Mario Greco | 4 | 9 | 1.58 |
| Tanja Bieker | 5 | 0 | 0.34 |
| Gianpaolo Pinelli | 6 | 5 | 1.56 |
| Stefan Brüggenwirth | 7 | 0 | 1.01 |