A Particle Filter Approach for InSAR Phase Filtering and Unwrapping

This paper presents a new phase-unwrapping (PU) algorithm for SAR interferometry that makes use of a particle filter (PF) to perform simultaneously noise filtering and PU. The formulation of this technique provides independence from noise statistics and is not constrained by the nonlinearity of the...

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Veröffentlicht in:IEEE transactions on geoscience and remote sensing 2009-04, Vol.47 (4), p.1197-1211
Hauptverfasser: Martinez-Espla, J.J., Martinez-Marin, T., Lopez-Sanchez, J.M.
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creator Martinez-Espla, J.J.
Martinez-Marin, T.
Lopez-Sanchez, J.M.
description This paper presents a new phase-unwrapping (PU) algorithm for SAR interferometry that makes use of a particle filter (PF) to perform simultaneously noise filtering and PU. The formulation of this technique provides independence from noise statistics and is not constrained by the nonlinearity of the problem. In addition, an enhanced variant of this method combining a PF with artificial-intelligence search strategies and an omnidirectional local phase estimator, based on the mode of the power spectral density, is also presented. Results obtained with synthetic and real data show a significant improvement with respect to other conventional unwrapping algorithms in some situations.
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subjects Algorithms
Applied geophysics
Artificial intelligence
Artificial intelligence (AI)
Density
Earth sciences
Earth, ocean, space
Exact sciences and technology
extended Kalman filter (EKF)
Filtering
Filtering algorithms
Filtration
Gaussian noise
grid filter
Internal geophysics
Noise
particle filter (PF)
Particle filters
path following
Phase estimation
Phase noise
phase unwrapping (PU)
Polyurethane resins
SAR interferometry
Spectra
state space
State-space methods
Statistics
Synthetic aperture radar interferometry
title A Particle Filter Approach for InSAR Phase Filtering and Unwrapping
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