Split-Band Interferometric SAR Processing Using TanDEM-X Data

Autores
Derauw, Dominique Maurice; Kervyn, François; d'Oreye, Nicolas; Smets, Benoit; Albino, Fabien; Barbier, Christian
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Most recent SAR sensors use wide band signals to achieve metric range resolution. One can also take advantage of wide band to split it into sub-bands and generate several lower-resolution images, centered on slightly different frequencies, from a single acquisition. This process, named Multi Chromatic Analysis (MCA) corresponds to performing a spectral analysis of SAR images. Split-Band SAR interferometry (SBInSAR) is based on spectral analysis performed on each image of an InSAR pair, yielding a stack of sub-band interferograms. Scatterers keeping a coherent behaviour in each subband interferogram show a phase that varies linearly with the carrier frequency, the slope being proportional to the absolute optical path difference. This potentially solves the problems of phase unwrapping on a pixelper-pixel basis. In this paper, we present an SBInSAR processor and its application using TanDEM-X data over the Nyiragongo volcano.
Fil: Derauw, Dominique Maurice. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. Centre Spatial de Liège; Bélgica
Fil: Kervyn, François. Royal Museum Of Central Africa; Bélgica
Fil: d'Oreye, Nicolas. European Centre For Geodynamics And Seismology; Luxemburgo. National Museum of Natural History; Luxemburgo
Fil: Smets, Benoit. Royal Museum Of Central Africa; Bélgica. European Centre For Geodynamics And Seismology; Luxemburgo. Vrije Unviversiteit Brussel; Bélgica
Fil: Albino, Fabien. Royal Museum Of Central Africa; Bélgica
Fil: Barbier, Christian. Centre Spatial de Liège; Bélgica
Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop
Frascati
Italia
European Space Agency
Materia
Split band
Synthetic Aperture Radar (SAR)
Interferometry
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/202512
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/202512
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Split-Band Interferometric SAR Processing Using TanDEM-X DataDerauw, Dominique MauriceKervyn, Françoisd'Oreye, NicolasSmets, BenoitAlbino, FabienBarbier, ChristianSplit bandSynthetic Aperture Radar (SAR)Interferometryhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Most recent SAR sensors use wide band signals to achieve metric range resolution. One can also take advantage of wide band to split it into sub-bands and generate several lower-resolution images, centered on slightly different frequencies, from a single acquisition. This process, named Multi Chromatic Analysis (MCA) corresponds to performing a spectral analysis of SAR images. Split-Band SAR interferometry (SBInSAR) is based on spectral analysis performed on each image of an InSAR pair, yielding a stack of sub-band interferograms. Scatterers keeping a coherent behaviour in each subband interferogram show a phase that varies linearly with the carrier frequency, the slope being proportional to the absolute optical path difference. This potentially solves the problems of phase unwrapping on a pixelper-pixel basis. In this paper, we present an SBInSAR processor and its application using TanDEM-X data over the Nyiragongo volcano.Fil: Derauw, Dominique Maurice. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. Centre Spatial de Liège; BélgicaFil: Kervyn, François. Royal Museum Of Central Africa; BélgicaFil: d'Oreye, Nicolas. European Centre For Geodynamics And Seismology; Luxemburgo. National Museum of Natural History; LuxemburgoFil: Smets, Benoit. Royal Museum Of Central Africa; Bélgica. European Centre For Geodynamics And Seismology; Luxemburgo. Vrije Unviversiteit Brussel; BélgicaFil: Albino, Fabien. Royal Museum Of Central Africa; BélgicaFil: Barbier, Christian. Centre Spatial de Liège; BélgicaAdvances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR WorkshopFrascatiItaliaEuropean Space AgencyESA Publication2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectWorkshopJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/202512Split-Band Interferometric SAR Processing Using TanDEM-X Data; Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop; Frascati; Italia; 2015; 1-7CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://proceedings.esa.int/page_paper20.phpinfo:eu-repo/semantics/altIdentifier/doi/10.5270/Fringe2015.20Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:31:20Zoai:ri.conicet.gov.ar:11336/202512instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 10:31:20.743CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Split-Band Interferometric SAR Processing Using TanDEM-X Data
title Split-Band Interferometric SAR Processing Using TanDEM-X Data
spellingShingle Split-Band Interferometric SAR Processing Using TanDEM-X Data
Derauw, Dominique Maurice
Split band
Synthetic Aperture Radar (SAR)
Interferometry
title_short Split-Band Interferometric SAR Processing Using TanDEM-X Data
title_full Split-Band Interferometric SAR Processing Using TanDEM-X Data
title_fullStr Split-Band Interferometric SAR Processing Using TanDEM-X Data
title_full_unstemmed Split-Band Interferometric SAR Processing Using TanDEM-X Data
title_sort Split-Band Interferometric SAR Processing Using TanDEM-X Data
dc.creator.none.fl_str_mv Derauw, Dominique Maurice
Kervyn, François
d'Oreye, Nicolas
Smets, Benoit
Albino, Fabien
Barbier, Christian
author Derauw, Dominique Maurice
author_facet Derauw, Dominique Maurice
Kervyn, François
d'Oreye, Nicolas
Smets, Benoit
Albino, Fabien
Barbier, Christian
author_role author
author2 Kervyn, François
d'Oreye, Nicolas
Smets, Benoit
Albino, Fabien
Barbier, Christian
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Split band
Synthetic Aperture Radar (SAR)
Interferometry
topic Split band
Synthetic Aperture Radar (SAR)
Interferometry
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Most recent SAR sensors use wide band signals to achieve metric range resolution. One can also take advantage of wide band to split it into sub-bands and generate several lower-resolution images, centered on slightly different frequencies, from a single acquisition. This process, named Multi Chromatic Analysis (MCA) corresponds to performing a spectral analysis of SAR images. Split-Band SAR interferometry (SBInSAR) is based on spectral analysis performed on each image of an InSAR pair, yielding a stack of sub-band interferograms. Scatterers keeping a coherent behaviour in each subband interferogram show a phase that varies linearly with the carrier frequency, the slope being proportional to the absolute optical path difference. This potentially solves the problems of phase unwrapping on a pixelper-pixel basis. In this paper, we present an SBInSAR processor and its application using TanDEM-X data over the Nyiragongo volcano.
Fil: Derauw, Dominique Maurice. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigación en Paleobiología y Geología; Argentina. Centre Spatial de Liège; Bélgica
Fil: Kervyn, François. Royal Museum Of Central Africa; Bélgica
Fil: d'Oreye, Nicolas. European Centre For Geodynamics And Seismology; Luxemburgo. National Museum of Natural History; Luxemburgo
Fil: Smets, Benoit. Royal Museum Of Central Africa; Bélgica. European Centre For Geodynamics And Seismology; Luxemburgo. Vrije Unviversiteit Brussel; Bélgica
Fil: Albino, Fabien. Royal Museum Of Central Africa; Bélgica
Fil: Barbier, Christian. Centre Spatial de Liège; Bélgica
Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop
Frascati
Italia
European Space Agency
description Most recent SAR sensors use wide band signals to achieve metric range resolution. One can also take advantage of wide band to split it into sub-bands and generate several lower-resolution images, centered on slightly different frequencies, from a single acquisition. This process, named Multi Chromatic Analysis (MCA) corresponds to performing a spectral analysis of SAR images. Split-Band SAR interferometry (SBInSAR) is based on spectral analysis performed on each image of an InSAR pair, yielding a stack of sub-band interferograms. Scatterers keeping a coherent behaviour in each subband interferogram show a phase that varies linearly with the carrier frequency, the slope being proportional to the absolute optical path difference. This potentially solves the problems of phase unwrapping on a pixelper-pixel basis. In this paper, we present an SBInSAR processor and its application using TanDEM-X data over the Nyiragongo volcano.
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Workshop
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/202512
Split-Band Interferometric SAR Processing Using TanDEM-X Data; Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop; Frascati; Italia; 2015; 1-7
CONICET Digital
CONICET
url http://hdl.handle.net/11336/202512
identifier_str_mv Split-Band Interferometric SAR Processing Using TanDEM-X Data; Advances in the Science and Applications of SAR Interferometry and Sentinel-1 InSAR Workshop; Frascati; Italia; 2015; 1-7
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://proceedings.esa.int/page_paper20.php
info:eu-repo/semantics/altIdentifier/doi/10.5270/Fringe2015.20
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv ESA Publication
publisher.none.fl_str_mv ESA Publication
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.087074

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