Name
Abstract | ||
|---|---|---|
For highly squinted synthetic aperture radar (SAR) imaging, the Omega-k algorithm is generally accepted as an effective focusing processor. However, the performance of the Omega-k algorithm may be degraded by the trajectory deviations due to the precision limitation of the navigation system in airborne SAR. In this paper, we focus on the autofocusing approach, which is compatible with the Omega-k ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/JSTARS.2017.2702621 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Synthetic aperture radar,Imaging,Signal processing algorithms,Trajectory,Approximation algorithms,Radar imaging | Autofocus,Synthetic aperture radar,Remote sensing,Artificial intelligence,Trajectory,Residual,Computer vision,Radar imaging,Side looking airborne radar,Navigation system,Algorithm,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
10 | 9 | 1939-1404 |
Citations | PageRank | References |
2 | 0.38 | 13 |
Authors | ||
5 | ||