A Particle Filter Approach for InSAR Phase Filtering and Unwrapping

被引：77

作者：

Martinez-Espla, Juan J. ^{[1
]}

Martinez-Marin, Tomas ^{[1
]}

Lopez-Sanchez, Juan M. ^{[1
]}

机构：

[1] Univ Alicante, Dept Phys Syst Engn & Signal Theory, E-03080 Alicante, Spain

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 04期

关键词：

Artificial intelligence (AI); extended Kalman filter (EKF); grid filter; particle filter (PF); path following; phase unwrapping (PU); SAR interferometry; state space; NOISE-REDUCTION; INTERFEROMETRY; ALGORITHM;

D O I：

10.1109/TGRS.2008.2008095

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

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.

引用

页码：1197 / 1211

页数：15

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