Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application
Descripción del Articulo
A comparative analysis of three imaging algorithms for Ground Based Synthetic Aperture Radar (GB-SAR) systems has been conducted in order to select the most appropriate algorithm to be used in a landslide monitoring application. These algorithms are Frequency Domain Back Projection (FDBP), Range Mig...
Autores: | , |
---|---|
Formato: | artículo |
Fecha de Publicación: | 2020 |
Institución: | Consejo Nacional de Ciencia Tecnología e Innovación |
Repositorio: | CONCYTEC-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.concytec.gob.pe:20.500.12390/2494 |
Enlace del recurso: | https://hdl.handle.net/20.500.12390/2494 https://doi.org/10.1109/INTERCON50315.2020.9220189 |
Nivel de acceso: | acceso abierto |
Materia: | RMA DLIP FDBP GB-SAR http://purl.org/pe-repo/ocde/ford#2.02.04 |
id |
CONC_7272272abbc8bf29590498d6ef418003 |
---|---|
oai_identifier_str |
oai:repositorio.concytec.gob.pe:20.500.12390/2494 |
network_acronym_str |
CONC |
network_name_str |
CONCYTEC-Institucional |
repository_id_str |
4689 |
spelling |
Publicationrp06364600rp06365600De La Cruz L.Milla M.A.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2020https://hdl.handle.net/20.500.12390/2494https://doi.org/10.1109/INTERCON50315.2020.92201892-s2.0-85095435399A comparative analysis of three imaging algorithms for Ground Based Synthetic Aperture Radar (GB-SAR) systems has been conducted in order to select the most appropriate algorithm to be used in a landslide monitoring application. These algorithms are Frequency Domain Back Projection (FDBP), Range Migration Algorithm (RMA), and Discrete Linear Inverse Problem (DLIP). The comparison is based on image reconstruction quality, computational efficiency, and displacement measurement accuracy. Simulated and real data were used to test and compare the algorithms. Results show that FDBP is the most appropriate method for the proposed application. © 2020 IEEE.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengInstitute of Electrical and Electronics Engineers Inc.Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020info:eu-repo/semantics/openAccessRMADLIP-1FDBP-1GB-SAR-1http://purl.org/pe-repo/ocde/ford#2.02.04-1Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Applicationinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2494oai:repositorio.concytec.gob.pe:20.500.12390/24942024-05-30 16:08:44.616http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="591fa9ea-6fd7-4fe9-9b5e-8de5a729fa8a"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application</Title> <PublishedIn> <Publication> <Title>Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020</Title> </Publication> </PublishedIn> <PublicationDate>2020</PublicationDate> <DOI>https://doi.org/10.1109/INTERCON50315.2020.9220189</DOI> <SCP-Number>2-s2.0-85095435399</SCP-Number> <Authors> <Author> <DisplayName>De La Cruz L.</DisplayName> <Person id="rp06364" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Milla M.A.</DisplayName> <Person id="rp06365" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Institute of Electrical and Electronics Engineers Inc.</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>RMA</Keyword> <Keyword>DLIP</Keyword> <Keyword>FDBP</Keyword> <Keyword>GB-SAR</Keyword> <Abstract>A comparative analysis of three imaging algorithms for Ground Based Synthetic Aperture Radar (GB-SAR) systems has been conducted in order to select the most appropriate algorithm to be used in a landslide monitoring application. These algorithms are Frequency Domain Back Projection (FDBP), Range Migration Algorithm (RMA), and Discrete Linear Inverse Problem (DLIP). The comparison is based on image reconstruction quality, computational efficiency, and displacement measurement accuracy. Simulated and real data were used to test and compare the algorithms. Results show that FDBP is the most appropriate method for the proposed application. © 2020 IEEE.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
dc.title.none.fl_str_mv |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
title |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
spellingShingle |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application De La Cruz L. RMA DLIP FDBP GB-SAR http://purl.org/pe-repo/ocde/ford#2.02.04 |
title_short |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
title_full |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
title_fullStr |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
title_full_unstemmed |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
title_sort |
Comparison of GB-SAR Imaging Algorithms for a Landslide Monitoring Application |
author |
De La Cruz L. |
author_facet |
De La Cruz L. Milla M.A. |
author_role |
author |
author2 |
Milla M.A. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
De La Cruz L. Milla M.A. |
dc.subject.none.fl_str_mv |
RMA |
topic |
RMA DLIP FDBP GB-SAR http://purl.org/pe-repo/ocde/ford#2.02.04 |
dc.subject.es_PE.fl_str_mv |
DLIP FDBP GB-SAR |
dc.subject.ocde.none.fl_str_mv |
http://purl.org/pe-repo/ocde/ford#2.02.04 |
description |
A comparative analysis of three imaging algorithms for Ground Based Synthetic Aperture Radar (GB-SAR) systems has been conducted in order to select the most appropriate algorithm to be used in a landslide monitoring application. These algorithms are Frequency Domain Back Projection (FDBP), Range Migration Algorithm (RMA), and Discrete Linear Inverse Problem (DLIP). The comparison is based on image reconstruction quality, computational efficiency, and displacement measurement accuracy. Simulated and real data were used to test and compare the algorithms. Results show that FDBP is the most appropriate method for the proposed application. © 2020 IEEE. |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.available.none.fl_str_mv |
2024-05-30T23:13:38Z |
dc.date.issued.fl_str_mv |
2020 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12390/2494 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1109/INTERCON50315.2020.9220189 |
dc.identifier.scopus.none.fl_str_mv |
2-s2.0-85095435399 |
url |
https://hdl.handle.net/20.500.12390/2494 https://doi.org/10.1109/INTERCON50315.2020.9220189 |
identifier_str_mv |
2-s2.0-85095435399 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.none.fl_str_mv |
Proceedings of the 2020 IEEE 27th International Conference on Electronics, Electrical Engineering and Computing, INTERCON 2020 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
dc.source.none.fl_str_mv |
reponame:CONCYTEC-Institucional instname:Consejo Nacional de Ciencia Tecnología e Innovación instacron:CONCYTEC |
instname_str |
Consejo Nacional de Ciencia Tecnología e Innovación |
instacron_str |
CONCYTEC |
institution |
CONCYTEC |
reponame_str |
CONCYTEC-Institucional |
collection |
CONCYTEC-Institucional |
repository.name.fl_str_mv |
Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
_version_ |
1844883105962262528 |
score |
13.361153 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).