Ground movement classification using statistical tests over persistent scatterer interferometry time series

This study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to detect TSs affected by phase unwrapping errors and a r...

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Autores: Mirmazloumi, Seyed Mohammad, Wassie, Yismaw Abera|||0000-0003-3756-1680, Antonio Navarro, José, Palamá, Riccardo, Monserrat Hernández, Oriol, Crosetto, Michele
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/384033
Acceso en línea:https://hdl.handle.net/2117/384033
https://dx.doi.org/10.1016/j.procs.2021.11.068
Access Level:acceso abierto
Palabra clave:Synthetic aperture radar
Remote sensing
Interferometry
Teledetecció
Radar d'obertura sintètica
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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spelling Ground movement classification using statistical tests over persistent scatterer interferometry time seriesMirmazloumi, Seyed MohammadWassie, Yismaw Abera|||0000-0003-3756-1680Antonio Navarro, JoséPalamá, RiccardoMonserrat Hernández, OriolCrosetto, MicheleSynthetic aperture radarRemote sensingInterferometryTeledeteccióRadar d'obertura sintèticaInterferometriaÀrees temàtiques de la UPC::Enginyeria de la telecomunicacióThis study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to detect TSs affected by phase unwrapping errors and a reclassification part to detect stable points, which are incorrectly classified as moving points using the original method. Around 60 km2 of Catalunya were classified using Sentinel-1 images and a PSI technique. The proposed method classified 78359 PS TS. This study provided the spatial distribution of ground movement classes and detected several time series anomalies.Peer ReviewedElsevier20222022-01-0120232023-02-23journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/384033https://dx.doi.org/10.1016/j.procs.2021.11.068reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3840332026-05-27T15:37:01Z
dc.title.none.fl_str_mv Ground movement classification using statistical tests over persistent scatterer interferometry time series
title Ground movement classification using statistical tests over persistent scatterer interferometry time series
spellingShingle Ground movement classification using statistical tests over persistent scatterer interferometry time series
Mirmazloumi, Seyed Mohammad
Synthetic aperture radar
Remote sensing
Interferometry
Teledetecció
Radar d'obertura sintètica
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
title_short Ground movement classification using statistical tests over persistent scatterer interferometry time series
title_full Ground movement classification using statistical tests over persistent scatterer interferometry time series
title_fullStr Ground movement classification using statistical tests over persistent scatterer interferometry time series
title_full_unstemmed Ground movement classification using statistical tests over persistent scatterer interferometry time series
title_sort Ground movement classification using statistical tests over persistent scatterer interferometry time series
dc.creator.none.fl_str_mv Mirmazloumi, Seyed Mohammad
Wassie, Yismaw Abera|||0000-0003-3756-1680
Antonio Navarro, José
Palamá, Riccardo
Monserrat Hernández, Oriol
Crosetto, Michele
author Mirmazloumi, Seyed Mohammad
author_facet Mirmazloumi, Seyed Mohammad
Wassie, Yismaw Abera|||0000-0003-3756-1680
Antonio Navarro, José
Palamá, Riccardo
Monserrat Hernández, Oriol
Crosetto, Michele
author_role author
author2 Wassie, Yismaw Abera|||0000-0003-3756-1680
Antonio Navarro, José
Palamá, Riccardo
Monserrat Hernández, Oriol
Crosetto, Michele
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Synthetic aperture radar
Remote sensing
Interferometry
Teledetecció
Radar d'obertura sintètica
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
topic Synthetic aperture radar
Remote sensing
Interferometry
Teledetecció
Radar d'obertura sintètica
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
description This study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to detect TSs affected by phase unwrapping errors and a reclassification part to detect stable points, which are incorrectly classified as moving points using the original method. Around 60 km2 of Catalunya were classified using Sentinel-1 images and a PSI technique. The proposed method classified 78359 PS TS. This study provided the spatial distribution of ground movement classes and detected several time series anomalies.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01
2023
2023-02-23
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/384033
https://dx.doi.org/10.1016/j.procs.2021.11.068
url https://hdl.handle.net/2117/384033
https://dx.doi.org/10.1016/j.procs.2021.11.068
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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