Using a Grid-Based Filter to Solve InSAR Phase Unwrapping

Author

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

Author_Institution

Dept. de Fis., Univ. de Alicante, Alicante

Volume

5

Issue

2

fYear

2008

fDate

4/1/2008 12:00:00 AM

Firstpage

147

Lastpage

151

Abstract

This letter presents a phase-unwrapping (PU) algorithm for synthetic aperture radar interferometry based on a grid-based filter. The proposed PU algorithm, which is based on state-space techniques, simultaneously performs noise filtering and PU. The formulation of this technique provides independence from noise statistics and is not constrained by the nonlinearity of the problem. Results obtained with synthetic data show a significant improvement with respect to other conventional PU algorithms in some situations.

Keywords

Kalman filters; geophysical techniques; radar interferometry; synthetic aperture radar; InSAR; grid-based filter; interferometry synthetic aperture radar; noise filtering; phase-unwrapping algorithm; state-space techniques; Cost function; Filtering algorithms; Frequency estimation; Noise reduction; Particle filters; Phase noise; Statistics; Synthetic aperture radar; Synthetic aperture radar interferometry; Extended Kalman filter (EKF); grid filter; particle filter; phase unwrapping (PU); synthetic aperture radar interferometry;

fLanguage

English

Journal_Title

Geoscience and Remote Sensing Letters, IEEE

Publisher

ieee

ISSN

1545-598X

Type

jour

DOI

10.1109/LGRS.2008.915734

Filename

4454219