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The Ambiguities related to Closure-Phase Model Inversion

De Zan, Francesco and Gomba, Giorgio and Yokoya, Natsumi (2018) The Ambiguities related to Closure-Phase Model Inversion. VDE Verlag GmbH. EUSAR 2018, 4.-7. June 2018, Aachen, Germany. ISBN 978-3-8007-4636-1. ISSN 2197-4403.

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Abstract

This paper discusses the ambiguities that arise when trying to invert simple soil moisture models from closure phases in SAR interferometry. It shows that, under reasonable assumptions, the closure phase information is enough to sort acquisitions according to increasing moisture except for a special kind of ambiguity. The reconstructed moisture sequence can be represented on a circle where the most dry and most wet acquisitions lay side by side. The identification of this special pair of acquisitions solves the ambiguity and opens a way to constrained inversions reducing the number of multiple solutions.

Item URL in elib:https://elib.dlr.de/120480/
Document Type:Conference or Workshop Item (Speech)
Title:The Ambiguities related to Closure-Phase Model Inversion
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
De Zan, Francescofrancesco.dezan (at) dlr.dehttps://orcid.org/0000-0002-1643-2559
Gomba, Giorgiogiorgio.gomba (at) dlr.deUNSPECIFIED
Yokoya, Natsuminatsumi.yokoya (at) tum.deUNSPECIFIED
Date:June 2018
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 1-4
Publisher:VDE Verlag GmbH
ISSN:2197-4403
ISBN:978-3-8007-4636-1
Status:Published
Keywords:SAR Interferometry, closure phase, moisture, ambiguity
Event Title:EUSAR 2018
Event Location:Aachen, Germany
Event Type:international Conference
Event Dates:4.-7. June 2018
Organizer:VDE
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 hochauflösende Fernerkundungsverfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: De Zan, Francesco
Deposited On:21 Jun 2018 13:59
Last Modified:31 Jul 2019 20:18

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