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Title:

Robust {Estimators} for {Multipass} {SAR} {Interferometry}

Author(s):
Wang, Y.; Zhu, X. X.
Abstract:
This paper introduces a framework for robust parameter estimation in multipass interferometric synthetic aperture radar (InSAR), such as persistent scatterer interferometry, SAR tomography, small baseline subset, and SqueeSAR. These techniques involve estimation of phase history parameters with or without covariance matrix estimation. Typically, their optimal estimators are derived on the assumption of stationary complex Gaussian-distributed observations. However, their statistical robustness ha...     »
Keywords:
Synthetic aperture radar, Maximum likelihood estimation, Parameter estimation, Covariance matrix, Gaussian distribution, radar interferometry, covariance matrices, robust estimation, multipass SAR interferometry, Atmospheric modeling, Robustness, History, rank covariance matrix, multipass interferometric synthetic aperture radar, nonGaussian complex InSAR multivariate, phase error, robust parameter estimation, uncompensated atmospheric phase, unmolded motion phase, \$M\$-estimator, Differential...     »
Journal title:
IEEE Transactions on Geoscience and Remote Sensing
Year:
2016
Journal volume:
54
Month:
feb
Journal issue:
2
Pages contribution:
968--980
Fulltext / DOI:
doi:10.1109/TGRS.2015.2471303
Print-ISSN:
0196-2892
Notes:
00000
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