RUO Principal

Repositorio Institucional de la Universidad de Oviedo

Ver ítem 
  •   RUO Principal
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Ponencias, Discursos y Conferencias
  • Ver ítem
  •   RUO Principal
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Ponencias, Discursos y Conferencias
  • Ver ítem
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Listar

Todo RUOComunidades y ColeccionesPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issnPerfil de autorEsta colecciónPor fecha de publicaciónAutoresTítulosMateriasxmlui.ArtifactBrowser.Navigation.browse_issn

Mi cuenta

AccederRegistro

Estadísticas

Ver Estadísticas de uso

AÑADIDO RECIENTEMENTE

Novedades
Repositorio
Cómo publicar
Recursos
FAQs

UAV-mounted GPR for NDT applications

Autor(es) y otros:
García Fernández, MaríaAutoridad Uniovi; Álvarez López, YuriAutoridad Uniovi; González Valdés, Borja; Arboleya Arboleya, AnaAutoridad Uniovi; Rodríguez Vaqueiro, Yolanda; Las Heras Andrés, Fernando LuisAutoridad Uniovi; Pino García, Antonio
Palabra(s) clave:

drones

UAV

imaging

microondas

georradar

GPR

minas antipersona

Fecha de publicación:
2018-09
Editorial:

IEEE

Versión del editor:
http://dx.doi.org/10.23919/EuRAD.2018.8546594
Descripción física:
5 p.
Resumen:

This contribution introduces a novel airborne system for subsurface sensing and imaging applications. The system consists of a Ground Penetrating Radar (GPR) mounted on an Unmanned Aerial Vehicle (UAV). Since the system does not need to be in contact with the soil, it is particularly useful for some Non-Destructive Testing (NDT) applications such as landmine detection or archeological surveys. An overview of the system and some of the first flight tests are shown in this contribution. The results of these flight tests prove the feasibility of the system to detect both metallic and dielectric targets. Furthermore, since the system includes a high-accuracy positioning system, measurements could be coherently combined to improve the radar image resolution.

This contribution introduces a novel airborne system for subsurface sensing and imaging applications. The system consists of a Ground Penetrating Radar (GPR) mounted on an Unmanned Aerial Vehicle (UAV). Since the system does not need to be in contact with the soil, it is particularly useful for some Non-Destructive Testing (NDT) applications such as landmine detection or archeological surveys. An overview of the system and some of the first flight tests are shown in this contribution. The results of these flight tests prove the feasibility of the system to detect both metallic and dielectric targets. Furthermore, since the system includes a high-accuracy positioning system, measurements could be coherently combined to improve the radar image resolution.

Descripción:

European Radar Conference (EuRAD) (15th. 2018. Madrid)

URI:
http://hdl.handle.net/10651/51038
ISBN:
978-2-87487-053-8
DOI:
10.23919/EuRAD.2018.8546594
Patrocinado por:

This work has been partially supported by Government of Spain under projects TEC2014-55290-JIN (PORTEMVISION) and TEC2015-73908-JIN, and grants RYC-2016-20280 and FPU15/06341; by the Gobierno del Principado de Asturias through IDI/2017/000095; and by the Galician Regional Government under project GRC2015/018 and under agreement for funding AtlantTIC.

Colecciones
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1089]
  • Investigaciones y Documentos OpenAIRE [8416]
  • Ponencias, Discursos y Conferencias [4231]
Ficheros en el ítem
Thumbnail
untranslated
postprint (3.094Mb)
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadatos
Mostrar el registro completo del ítem
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
El contenido del Repositorio, a menos que se indique lo contrario, está protegido con una licencia Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Creative Commons Image