Title :
Compressive sensing for RADARSAT-2 tomography
Author_Institution :
Defence Research and Development Canada - Ottawa Research Centre, Canada
fDate :
6/1/2015 12:00:00 AM
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"
Conference_Titel :
Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa), 2015 3rd International Workshop on
DOI :
10.1109/CoSeRa.2015.7330299