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Enhanced-resolution SAR tomography using the weighted covariance fitting criterion

Martin del Campo Becerra, Gustavo Daniel and Reigber, Andreas and Nannini, Matteo (2020) Enhanced-resolution SAR tomography using the weighted covariance fitting criterion. European Conference on Synthetic Aperture Radar (EUSAR), 2020-06-15 - 2020-06-18, Leipzig, Germany.

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Official URL: https://www.eusar.de/de

Abstract

The use of maximum likelihood (ML)-inspired statistical regularization approaches to solve the synthetic aperture radar (SAR) tomography (TomoSAR) nonlinear ill-conditioned inverse problem, has been successfully demonstrated in previous related studies. Within the main advantages of these approaches there is the retrieval of resolution-enhanced tomograms using a reduced number of passes, performing also suppression of artifacts and reduction of the ambiguity levels. Nonetheless, such techniques are constrained to the probability density function (pdf) Gaussian assumption of the observed data. Consequently, in order to ease this restriction and preserving the previously mentioned desired char-acteristics, in this paper, we relax such Gaussian assumption and apply the weighted covariance fitting (WCF) criterion instead. The feature enhancing capabilities of the proposed WCF-based technique are corroborated via processing L-band airborne TomoSAR data of the German Aerospace Center (DLR), acquired by the F-SAR system over the for-ested test site of Froschham, Germany (2017) and L-band airborne TomoSAR data of the Jet Propulsion Laboratory (JPL) from the National Aeronautics and Space Administration (NASA), in collaboration with DLR, acquired by the UAVSAR system over the urban area of München, Germany (2015).

Item URL in elib:https://elib.dlr.de/133958/
Document Type:Conference or Workshop Item (Lecture)
Title:Enhanced-resolution SAR tomography using the weighted covariance fitting criterion
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Martin del Campo Becerra, Gustavo DanielGustavo.MartindelCampoBecerra (at) dlr.dehttps://orcid.org/0000-0003-1642-6068
Reigber, AndreasAndreas.Reigber (at) dlr.dehttps://orcid.org/0000-0002-2118-5046
Nannini, MatteoMatteo.Nannini (at) dlr.deUNSPECIFIED
Date:2020
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Accepted
Keywords:Synthetic aperture radar (SAR) tomography (TomoSAR), Weighted covariance fitting (WCF) criterion
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Leipzig, Germany
Event Type:international Conference
Event Dates:2020-06-15 - 2020-06-18
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Flugzeug-SAR
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute > SAR Technology
Deposited By: Martin del Campo Becerra, Gustavo
Deposited On:03 Feb 2020 07:47
Last Modified:03 Feb 2020 07:47

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