A Particle Filter Approach for InSAR Phase Filtering and Unwrapping

Author

Martinez-Espla, Juan J. ; Martinez-Marin, Tomás ; Lopez-Sanchez, Juan M.

Author_Institution

Dept. of Phys., Syst. Eng. & Signal Theor., Univ. of Alicante, Alicante

Volume

47

Issue

4

fYear

2009

fDate

4/1/2009 12:00:00 AM

Firstpage

1197

Lastpage

1211

Abstract

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.

Keywords

geophysical signal processing; geophysical techniques; particle filtering (numerical methods); phase estimation; radar imaging; radar interferometry; remote sensing by radar; signal denoising; synthetic aperture radar; InSAR phase filtering; InSAR phase unwrapping; SAR interferometry; artificial intelligence search strategy; noise filtering; omnidirectional local phase estimator; particle filter approach; power spectral density; Artificial intelligence (AI); SAR interferometry; extended Kalman filter (EKF); grid filter; particle filter (PF); path following; phase unwrapping (PU); state space;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing, IEEE Transactions on

Publisher

ieee

ISSN

0196-2892

Type

jour

DOI

10.1109/TGRS.2008.2008095

Filename

4781584