Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects

This contribution introduces three methodologies to improve Synthetic Aperture Radar (SAR)-based techniques used in Ground Penetrating Radar (GPR) systems. They consist of i) equalization of the frequency response of the transmitting (Tx) and receiving (Rx) antennas, ii) processing of SAR images usi...

ver descrição completa

Detalhes bibliográficos
Autores: González Díaz, Marcos, García Fernández, María|||0000-0001-8935-1912, Álvarez López, Yuri|||0000-0003-3625-4515, Las Heras Andrés, Fernando Luis|||0000-0001-7959-2114
Formato: artículo
Fecha de publicación:2019
País:España
Recursos:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:digibuo.uniovi.es:10651/51685
Acesso em linha:http://hdl.handle.net/10651/51685
https://dx.doi.org/10.1109/TIM.2019.2930159
Access Level:acceso abierto
Palavra-chave:drones
ground penetrating radar
imagen radar
sensores
detección minas antipersona
radar
id ES_7c38b8a7a3bfab88ef785159785f47fa
oai_identifier_str oai:digibuo.uniovi.es:10651/51685
network_acronym_str ES
network_name_str España
repository_id_str
spelling Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objectsGonzález Díaz, MarcosGarcía Fernández, María|||0000-0001-8935-1912Álvarez López, Yuri|||0000-0003-3625-4515Las Heras Andrés, Fernando Luis|||0000-0001-7959-2114dronesground penetrating radarimagen radarsensoresdetección minas antipersonaradarThis contribution introduces three methodologies to improve Synthetic Aperture Radar (SAR)-based techniques used in Ground Penetrating Radar (GPR) systems. They consist of i) equalization of the frequency response of the transmitting (Tx) and receiving (Rx) antennas, ii) processing of SAR images using partially overlapped frequency sub-bands, and iii) imaging domain clustering. The goal is to combine ground penetration capabilities of lower frequency bands with the resolution achieved when increasing the overall frequency band, resulting in enhanced detection and imaging capabilities. Validation of these techniques has been done at three levels: first using simulations, next by means of measurements in a controlled scenario and, finally, using a portable setup deployed in a realistic scenario.Ministerio de Educación - Gobierno de España, beca FPU15/06341 Ministerio de Ciencia, Innovación y Universidades - Gobierno de España, proyecto RTI2018-095825-B-I00 (”MilliHand”) Gobierno del Principado de Asturias (PCTI) y Unión Europea (FEDER), proyectos IDI/2018/000191 y IDI/2017/000095 Instituto Universitario de Investigación Industrial de Asturias (IUTA), proyectos SV-17-GIJON-1-18, SV-18-GIJON-1-07 (”Georradar embarcado en un dron para detección de minas y otros objetos enterrados (GEODRON)”), y SV-19-GIJON-1-17.The Institute of Electrical and Electronic Engineers20192019-01-01journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articlehttp://hdl.handle.net/10651/51685https://dx.doi.org/10.1109/TIM.2019.2930159reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:digibuo.uniovi.es:10651/516852026-06-07T06:38:51Z
dc.title.none.fl_str_mv Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
title Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
spellingShingle Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
González Díaz, Marcos
drones
ground penetrating radar
imagen radar
sensores
detección minas antipersona
radar
title_short Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
title_full Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
title_fullStr Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
title_full_unstemmed Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
title_sort Improvement of GPR SAR-based techniques for accurate detection and imaging of buried objects
dc.creator.none.fl_str_mv González Díaz, Marcos
García Fernández, María|||0000-0001-8935-1912
Álvarez López, Yuri|||0000-0003-3625-4515
Las Heras Andrés, Fernando Luis|||0000-0001-7959-2114
author González Díaz, Marcos
author_facet González Díaz, Marcos
García Fernández, María|||0000-0001-8935-1912
Álvarez López, Yuri|||0000-0003-3625-4515
Las Heras Andrés, Fernando Luis|||0000-0001-7959-2114
author_role author
author2 García Fernández, María|||0000-0001-8935-1912
Álvarez López, Yuri|||0000-0003-3625-4515
Las Heras Andrés, Fernando Luis|||0000-0001-7959-2114
author2_role author
author
author
dc.subject.none.fl_str_mv drones
ground penetrating radar
imagen radar
sensores
detección minas antipersona
radar
topic drones
ground penetrating radar
imagen radar
sensores
detección minas antipersona
radar
description This contribution introduces three methodologies to improve Synthetic Aperture Radar (SAR)-based techniques used in Ground Penetrating Radar (GPR) systems. They consist of i) equalization of the frequency response of the transmitting (Tx) and receiving (Rx) antennas, ii) processing of SAR images using partially overlapped frequency sub-bands, and iii) imaging domain clustering. The goal is to combine ground penetration capabilities of lower frequency bands with the resolution achieved when increasing the overall frequency band, resulting in enhanced detection and imaging capabilities. Validation of these techniques has been done at three levels: first using simulations, next by means of measurements in a controlled scenario and, finally, using a portable setup deployed in a realistic scenario.
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10651/51685
https://dx.doi.org/10.1109/TIM.2019.2930159
url http://hdl.handle.net/10651/51685
https://dx.doi.org/10.1109/TIM.2019.2930159
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
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
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv The Institute of Electrical and Electronic Engineers
publisher.none.fl_str_mv The Institute of Electrical and Electronic Engineers
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411573979676672
score 15,301603

Registos relacionados