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High-resolution wide-swath SAR processing with compressed sensing

 
: Cerutti-Maori, D.; Prunte, L.; Sikaneta, I.; Ender, J.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Geoscience and Remote Sensing Society:
IGARSS 2014, International Geoscience and Remote Sensing Symposium. Proceedings : 13-18 July 2014, Quebec City, QC, 35th Canadian Symposium on Remote Sensing
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-5775-0
S.3830-3833
International Geoscience and Remote Sensing Symposium (IGARSS) <2014, Quebec>
Englisch
Konferenzbeitrag
Fraunhofer FHR ()

Abstract
This paper derives a signal processing method based on compressed sensing (CS) for multi-channel high-resolution wide-swath (HRWS) synthetic aperture radars (SARs) and discusses the applicability of CS for reconstructing the SAR image from undersampled SAR signals. The performance of the proposed CS reconstruction method is investigated for an exemplary HRWS SAR system and compared with the imaging performances achieved with conventional processing methods.

: http://publica.fraunhofer.de/dokumente/N-336680.html