DocumentCode :
1073045
Title :
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
Link To Document :
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