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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/202512
Ver los metadatos del registro completo
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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 Técnicas2025-09-03T10:05:20Zoai: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:34982025-09-03 10:05:20.964CONICET 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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13.13397 |