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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/54173

Title: Autonomous Airborne 3D SAR Imaging System for Subsurface Sensing: UWB-GPR on Board a UAV for Landmine and IED Detection
Author(s): García Fernández, María
Álvarez López, Yuri
Las Heras Andrés, Fernando Luis
Keywords: drones
remote sensing
georradar
minas antipersona
Issue date: Oct-2019
Publisher: MDPI
Publisher version: https://doi.org/10.3390/rs11202357
Citation: Remote Sensing, 11(20), p. 2357- (2019); doi:10.3390/rs11202357
Format extent: p. 2357-
Abstract: This work presents an enhanced autonomous airborne Synthetic Aperture Radar (SAR) imaging system able to provide full 3D radar images from the subsurface. The proposed prototype and methodology allow the safe detection of both metallic and non-metallic buried targets even in difficult-to-access scenarios without interacting with the ground. Thus, they are particularly suitable for detecting dangerous targets, such as landmines and Improvised Explosive Devices (IEDs). The prototype is mainly composed by an Ultra-Wide-Band (UWB) radar module working from Ultra-High-Frequency (UHF) band and a high accuracy dual-band Real Time Kinematic (RTK) positioning system mounted on board an Unmanned Aerial Vehicle (UAV). The UAV autonomously flies over the region of interest, gathering radar measurements. These measurements are accurately geo-referred so as to enable their coherent combination to obtain a well-focused SAR image. Improvements in the processing chain are also presented in order to deal with some issues associated to UAV-based measurements (such as non-uniform acquisition grids) as well as to enhance the resolution and the signal to clutter ratio of the image. Both the prototype and the methodology were validated with measurements, showing their capability to provide high-resolution 3D SAR images.
URI: http://hdl.handle.net/10651/54173
ISSN: 2072-4292
Sponsored: This research was funded by the Ministerio de Educación—Gobierno de España under Grant FPU15/06341; by the Ministerio de Ciencia, Innovación y Universidades—Gobierno de España under Project RTI2018-095825-B-I00 (“MilliHand”); by the Government of the Principality of Asturias (PCTI) and European Union (FEDER) under Grant IDI/2018/000191; and by the Instituto Universitario de Investigación Industrial de Asturias (IUTA) under Project SV-19-GIJON-1-17 (“RadioUAV”).
Project id.: IDI/2018/000191
FPU15/06341
MICINN/RTI2018-095825-B-I00
FEDER/IDI/2018/000191
Appears in Collections:Artículos
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas
Investigaciones y Documentos OpenAIRE

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