Abstract | ||
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Recently, a new operating mode for Synthetic Aperture Radar (SAR) system, referred to as hybrid stripmap/spotlight mode, has been presented. In the hybrid acquisition mode the radar antenna beam is steered about a point farther away from the radar than the area being illuminated, thus generating microwave images with an azimuth resolution better than that achieved in the stripmap configuration, and a ground coverage better than the one of the spotlight configuration. The subject of design, processing and data interpretation for the hybrid SAR mode is gaining an increasing interest in the remote sensing scientific community. Consequently, a hybrid SAR raw signal simulator is strongly required, especially when real raw data are not available yet, to test processing algorithms and to help mission planning. In addition, to analyse the effects of processing errors and to verify the impact of different system design choices on the final image for different kinds of imaged scenes, an extended scene SAR raw signal simulator is very useful: it is what we present in This work. After showing that in this case a 2D Fourier domain approach is not viable, we demonstrate that a 1D range Fourier domain approach, followed by 1D azimuth time domain integration, is possible when some approximations, usually valid in the actual cases, are accepted. |
Year | DOI | Venue |
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2004 | 10.1109/IGARSS.2004.1370675 | Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International |
Keywords | DocType | Volume |
geophysical signal processing,geophysical techniques,radar antennas,radar imaging,radar resolution,remote sensing by radar,synthetic aperture radar,1D azimuth time domain integration,1D range Fourier domain method,2D Fourier domain method,Synthetic Aperture Radar,azimuth resolution,hybrid acquisition mode,hybrid stripmap-spotlight SAR raw signal simulation,microwave images,processing error effect,radar antenna beam,remote sensing,spotlight configuration,stripmap configuration,test processing algorithms | Conference | 3 |
ISSN | ISBN | Citations |
2153-6996 | 0-7803-8742-2 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giorgio Franceschetti | 1 | 420 | 54.26 |
R. Guida | 2 | 51 | 4.01 |
A. Iodice | 3 | 158 | 17.58 |
Daniele Riccio | 4 | 781 | 118.99 |