RASCAN type radar image resolution enhancement for non-metallic landmine detection

Category 3. This paper presents two resolution enhancement techniques applied to images of buried landmines acquired using a RASCAN radar, a holographic radar that is used mainly for sounding structural components of buildings, although it can be used to find buried objects too. The first technique...

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Autores:
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/2320
Acceso en línea:
http://hdl.handle.net/11407/2320
Palabra clave:
Holographic radar
Image enhancement
Landmine detection
RASCAN imaging
Rights
restrictedAccess
License
http://purl.org/coar/access_right/c_16ec
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oai_identifier_str oai:repository.udem.edu.co:11407/2320
network_acronym_str REPOUDEM2
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repository_id_str
spelling 2016-06-23T21:52:09Z2016-06-23T21:52:09Z20139781479911219http://hdl.handle.net/11407/232010.1109/STSIVA.2013.6644923Category 3. This paper presents two resolution enhancement techniques applied to images of buried landmines acquired using a RASCAN radar, a holographic radar that is used mainly for sounding structural components of buildings, although it can be used to find buried objects too. The first technique is a phase-driven spatially variant regularization, and the second one is a wavelet-based image interpolation.enghttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6644923Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 2013, Article number 6644923ScopusRASCAN type radar image resolution enhancement for non-metallic landmine detectionConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/resource_type/c_c94finfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecUniversidad de Medellín, Medellín - Antioquia, ColombiaUniversidad Pontificia Bolivariana, Medellín - Antioquia, ColombiaQuintero-Zea A.Osorio-Cardenas M.Holographic radarImage enhancementLandmine detectionRASCAN imaging11407/2320oai:repository.udem.edu.co:11407/23202020-05-27 18:15:21.435Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv RASCAN type radar image resolution enhancement for non-metallic landmine detection
title RASCAN type radar image resolution enhancement for non-metallic landmine detection
spellingShingle RASCAN type radar image resolution enhancement for non-metallic landmine detection
Holographic radar
Image enhancement
Landmine detection
RASCAN imaging
title_short RASCAN type radar image resolution enhancement for non-metallic landmine detection
title_full RASCAN type radar image resolution enhancement for non-metallic landmine detection
title_fullStr RASCAN type radar image resolution enhancement for non-metallic landmine detection
title_full_unstemmed RASCAN type radar image resolution enhancement for non-metallic landmine detection
title_sort RASCAN type radar image resolution enhancement for non-metallic landmine detection
dc.contributor.affiliation.spa.fl_str_mv Universidad de Medellín, Medellín - Antioquia, Colombia
Universidad Pontificia Bolivariana, Medellín - Antioquia, Colombia
dc.subject.keyword.eng.fl_str_mv Holographic radar
Image enhancement
Landmine detection
RASCAN imaging
topic Holographic radar
Image enhancement
Landmine detection
RASCAN imaging
description Category 3. This paper presents two resolution enhancement techniques applied to images of buried landmines acquired using a RASCAN radar, a holographic radar that is used mainly for sounding structural components of buildings, although it can be used to find buried objects too. The first technique is a phase-driven spatially variant regularization, and the second one is a wavelet-based image interpolation.
publishDate 2013
dc.date.created.none.fl_str_mv 2013
dc.date.accessioned.none.fl_str_mv 2016-06-23T21:52:09Z
dc.date.available.none.fl_str_mv 2016-06-23T21:52:09Z
dc.type.eng.fl_str_mv Conference Paper
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv 9781479911219
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/2320
dc.identifier.doi.none.fl_str_mv 10.1109/STSIVA.2013.6644923
identifier_str_mv 9781479911219
10.1109/STSIVA.2013.6644923
url http://hdl.handle.net/11407/2320
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6644923
dc.relation.ispartofen.eng.fl_str_mv Symposium of Signals, Images and Artificial Vision - 2013, STSIVA 2013 2013, Article number 6644923
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1814159198971232256

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