Title | ||
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An efficient method for the azimuth compression of geosynchronous SAR data through sub-apertures processing |
Abstract | ||
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We propose an efficient method for the azimuth compression and Atmospheric Phase Screen estimation of Geosynchronous SAR data. The method is based on the iterative processing of sub-apertures of increasing size, allowing to gradually refine the quality of the focused data and of the estimated APS. The whole processing can be easily parallelized. Results over simulated data are shown. |
Year | DOI | Venue |
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2013 | 10.1109/IGARSS.2013.6723213 | Geoscience and Remote Sensing Symposium |
Keywords | Field | DocType |
geophysical techniques,remote sensing by radar,synthetic aperture radar,APS estimation,atmospheric phase screen estimation,data simulation,easily parallelized processing,focused data quality,geosynchronous SAR data azimuth compression efficient method,increasing size sub-aperture iterative processing method,sub-aperture processing,Atmospheric Phase Screen,Geosynchronous SAR,Synthetic Aperture RADAR | Aperture,Computer vision,Radar imaging,Computer science,Side looking airborne radar,Synthetic aperture radar,Early-warning radar,Remote sensing,Inverse synthetic aperture radar,Geosynchronous orbit,Artificial intelligence,3D radar | Conference |
ISSN | ISBN | Citations |
2153-6996 | 978-1-4799-1114-1 | 3 |
PageRank | References | Authors |
0.45 | 6 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Belotti, M. | 1 | 3 | 0.45 |
Antoni Broquetas | 2 | 139 | 25.55 |
Leanza, A. | 3 | 11 | 3.08 |
A. Monti Guarnieri | 4 | 234 | 69.01 |