NDLI: An extended Kalman smoothing approach for InSAR phase unwrapping

Content Provider	IEEE Xplore Digital Library
Author	Chirico, D. Schirinzi, G.
Copyright Year	2012
Description	Author affiliation: Dipartimento per le Tecnologie, Università di Napoli “Parthenope”, Centro Direzionale di Napoli, Isola C4, 80143 Naples, Italy (Chirico, D.; Schirinzi, G.)
Abstract	The phase of a complex signal is uniquely defined in the principal value interval [−π, π). The phase samples extracted from a time and/or space varying two-dimensional complex signal are ambiguous by integer multiples of 2π, hence the phase is said to be wrapped. Phase unwrapping (PU) entails the estimation of an absolute phase from the observation of its noisy principal (wrapped) values. In this paper we focus on the specific field of interferometric synthetic aperture radar (InSAR) where PU plays an important role in reconstructing the digital elevation model (DEM) of the imaged scene from InSAR data. This wor k addresses the derivation of an InSAR recursive phase unwrapping algorithm based on a two-dimensional extended K alman filter (E K F) that simultaneously performs noise filtering and phase unwrapping. To this end we restate the PU problem in state space form introducing a state model that describes the spatial variation of the phase signal and an observation model that describes the measurement process. The proposed algorithm operates as an optimal smoother in the sense that the phase estimate at each grid point (or pixel) uses all of the measurements in the SAR interferogram. The performance of the proposed algorithm is verified on synthetic InSAR data proving the validity of our method. The algorithm is also compared to other existing phase unwrapping techniques thus resulting as a valid counterpart to other well established PU methods.
Starting Page	309
Ending Page	313
File Size	781038
Page Count	5
File Format	PDF
ISBN	9781467324434
e-ISBN	9781467324434
DOI	10.1109/TyWRRS.2012.6381147
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-12
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Phase noise Smoothing methods Phase unwrapping Extended Kalman filter (E K F) Interferometric synthetic aperture radar (InSAR) Covariance matrix Fixed interval smoothing Kalman filters Noise measurement Synthetic aperture radar
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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