Name
Abstract | ||
|---|---|---|
Current subaperture-based azimuth-variant motion compensation (MOCO) algorithms for synthetic aperture radar (SAR) imagery usually suffer from the challenge of keeping high precision and efficiency simultaneously. In this letter, a novel MOCO approach is developed to precisely correct the azimuth-variant motion errors. The proposed algorithm applies a time-domain filter to implement the precise subaperture-to-pulse correction, providing a promising azimuth-variant phase correction. Extensive experiments demonstrate the superiorities of the proposal with real-measured high-squint SAR data. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/LGRS.2022.3177734 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS |
Keywords | DocType | Volume |
Doppler effect, Synthetic aperture radar, Time-domain analysis, Azimuth, Signal processing algorithms, Radar polarimetry, Geometry, Azimuth-variant, motion compensation (MOCO), subaperture-to-pulse, synthetic aperture radar (SAR) | Journal | 19 |
ISSN | Citations | PageRank |
1545-598X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhichao Meng | 1 | 0 | 0.34 |
| Lei Zhang | 2 | 195 | 22.87 |
| Jun Li | 3 | 0 | 0.34 |
| Jingyue Lu | 4 | 0 | 0.68 |
| Yachao Li | 5 | 201 | 27.78 |