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Bayesian Data Combination for the Estimation of Ionospheric Effects in SAR Interferograms

Gomba, Giorgio and De Zan, Francesco (2017) Bayesian Data Combination for the Estimation of Ionospheric Effects in SAR Interferograms. IEEE Transactions on Geoscience and Remote Sensing, 55 (11), pp. 6582-6593. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2017.2730438. ISSN 0196-2892.

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/document/8054720/

Abstract

The ionospheric propagation path delay is a major error source in synthetic aperture radar (SAR) interferograms and, therefore, has to be estimated and corrected. Various methods can be used to extract different kinds of information about the ionosphere from SAR images, with different accuracies. This paper presents a general technique, based on a Bayesian inverse problem, that combines various information sources in order to increase the estimation accuracy, and thus the correction. A physically realistic fractal modeling of the ionosphere turbulence and a data-based estimation of the model parameters allow the avoidance of arbitrary filtering windows and coefficients. To test the technique, the differential ionospheric phase screen was estimated by combining the split-spectrum method with the azimuth mutual shifts between interferometric pair images. This combination is convenient since it can benefit from the strengths of both sources: range and azimuth variations from the split-spectrum method and small-scale azimuth variations from more sensitive azimuth shifts. Therefore, the two methods can recover the long and short wavelength components of the ionospheric phase screen, respectively. A theoretical comparison between the Faraday rotation method and the split-spectrum method is also reported. For the use in the combination, precedence was then given to the split-spectrum method because of the comparable precision level, lower susceptibility to biases, and wider applicability. Finally, Advanced Land Observing Satellite Phased Array type L-band SAR L-band images are used to show how the combined result is more accurate than that obtained with the simple split-spectrum method.

Item URL in elib:https://elib.dlr.de/116437/
Document Type:Article
Title:Bayesian Data Combination for the Estimation of Ionospheric Effects in SAR Interferograms
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Gomba, Giorgiogiorgio.gomba (at) dlr.deUNSPECIFIED
De Zan, Francescofrancesco.dezan (at) dlr.deUNSPECIFIED
Date:2 October 2017
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:55
DOI :10.1109/TGRS.2017.2730438
Page Range:pp. 6582-6593
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:ionosphere, insar
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Vorhaben Tandem-L Vorstudien (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Gomba, Giorgio
Deposited On:15 Dec 2017 09:58
Last Modified:08 Mar 2018 18:35

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