Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 1, 2012, Pages 247-258

  Zhu, Xiao Xiang ^a,b   Bamler, Richard ^a,b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Compressive sensing (CS); SAR tomography (TomoSAR); SL1MMER; spectral estimation; super resolution (SR); synthetic aperture radar (SAR)

Indexed keywords

COMPRESSIVE SENSING (CS); SAR TOMOGRAPHY (TOMOSAR); SL1MMER; SPECTRAL ESTIMATION; SUPERRESOLUTION;

ALGORITHMS; ESTIMATION; OPTICAL RESOLVING POWER; PARAMETER ESTIMATION; SCATTERING; SIGNAL RECONSTRUCTION; SPECTROSCOPY; SPECTRUM ANALYSIS; SYNTHETIC APERTURE RADAR; TOMOGRAPHY;

MAXIMUM LIKELIHOOD ESTIMATION;

ALGORITHM; DETECTION METHOD; ESTIMATION METHOD; EXPERIMENTAL STUDY; NONLINEARITY; NUMERICAL MODEL; RAYLEIGH NUMBER; REMOTE SENSING; RESOLUTION; SPECTRAL ANALYSIS; SYNTHETIC APERTURE RADAR; TOMOGRAPHY;

EID: 84855447462     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2160183     Document Type: Article

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