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Multichannel interferometric SAR phase unwrapping using extended Kalman Smoother

Published online by Cambridge University Press:  23 April 2013

Davide Chirico  and
Gilda Schirinzi
Davide Chirico*
Affiliation:
Dipartimento per le Tecnologie, Università di Napoli “Parthenope”, Centro Direzionale di Napoli, Isola C4, 80143 Naples, Italy Command and Control Department, MBDA-IT Missile Systems, Via Carciano 4-50, 60-70, 00131 Rome, Italy
Gilda Schirinzi
Affiliation:
Dipartimento per le Tecnologie, Università di Napoli “Parthenope”, Centro Direzionale di Napoli, Isola C4, 80143 Naples, Italy
*
Corresponding author: Davide Chirico Email: [email protected]
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Abstract

Phase unwrapping (PU) is one of the key processing steps in reconstructing the digital elevation model (DEM) of a scene from interferometric synthetic aperture radar (InSAR) data. The PU problem entails the estimation of an absolute phase from observation of its noisy principal (wrapped) values. Recently, PU approaches based on Kalman filtering have proved their efficacy in tackling the PU problem even when strong discontinuities of the height profile and noisy data are involved. This paper presents a novel multichannel InSAR PU algorithm using several interferometric SAR images based on the extended Kalman filter. The proposed technique exploits the capability of the Kalman algorithm to simultaneously perform noise filtering, PU, and multi-sensor data fusion. The proposed method, even being a Bayesian estimator, optimally fuses height information coming from an additional maximum likelihood estimator (MLE) combining the benefits of both the Bayesian and the non-Bayesian approaches. The performance of the proposed algorithm has been tested on simulated interferometric images proving the effectiveness of the proposed method.

Keywords

Radar Signal Processing and System ModelingRadar Applications
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 5 , Special Issue 3: European Microwave Week 2012 , June 2013 , pp. 429 - 436
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2013 

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