DocumentCode :
3692851
Title :
Compressive sensing for RADARSAT-2 tomography
Author :
David Kirkland
Author_Institution :
Defence Research and Development Canada - Ottawa Research Centre, Canada
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
234
Lastpage :
238
Abstract :
Satellite Synthetic Aperture Radar (SAR) systems can achieve vertical resolution by using multiple platform passes to create a synthetic aperture in the elevation direction. Often the distribution of the orbits is not optimal for traditional forms of tomographic processing. Due to the random nature of the orbit positions and the relatively small number of measurements, a compressive sensing (CS) approach for achieving vertical resolution is utilized to determine the likely achievable performance of RADARSAT-2 (R2) in tomographic operation.
Keywords :
"Satellites","Standards","Synthetic aperture radar","Compressed sensing","Signal to noise ratio","Apertures","Tomography"
Publisher :
ieee
Conference_Titel :
Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015 3rd International Workshop on
Type :
conf
DOI :
10.1109/CoSeRa.2015.7330299
Filename :
7330299
Link To Document :
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