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Comparison of subsampling strategies for UAV-mounted subsurface radar imaging systems

dc.contributor.authorGarcía Fernández, María 
dc.contributor.authorÁlvarez Narciandi, Guillermo 
dc.contributor.authorÁlvarez López, Yuri 
dc.contributor.authorLas Heras Andrés, Fernando Luis 
dc.date.accessioned2023-02-09T11:49:06Z
dc.date.available2023-02-09T11:49:06Z
dc.date.issued2022-07
dc.identifier.isbn978-1-6654-9658-2
dc.identifier.issn1947-1491
dc.identifier.urihttp://hdl.handle.net/10651/66302
dc.descriptionIEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting (2022, Denver, Colorado)spa
dc.description.abstractThis paper compares two subsampling strategies for UAV-mounted subsurface radar imaging systems, which feature non-uniform acquisitions that have an impact on the quality of the resulting radar image. The first method is based on selecting those samples that meet four conditions related to the UAV flight speed and stability. In contrast, the second relies on dividing the observation domain in a grid of cells, and selecting only a maximum of a given number of samples within each cell. The impact of both techniques on the image quality is assessed by means of measurements.spa
dc.description.sponsorshipThis work has been supported by Ministry of Defense of Spain and University of Oviedo (contract SAFEDRONE), by Ministry of Science and Innovation (RTI2018-095825-B-I00 and PID2021-122697OB-I00) and by Ministry of Universities of Spain and European Union - NextGenerationEU- (MU-21-UP2021-030-53519863 and MU-21-UP2021-030-71667225), and by Gobierno del Principado de Asturias/FEDER (AYUD/2021/51706).spa
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.ispartof2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)spa
dc.rights© 2022 IEEE
dc.subjectTelecomunicacionesspa
dc.subjectGround penetrating radarspa
dc.subjectDronesspa
dc.subjectSubsurface imagingspa
dc.titleComparison of subsampling strategies for UAV-mounted subsurface radar imaging systemsspa
dc.typeconference outputspa
dc.identifier.doi10.1109/AP-S/USNC-URSI47032.2022.9887155
dc.relation.projectIDGobierno del Principado de Asturias/FEDER (AYUD/2021/51706).spa
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9887155spa
dc.rights.accessRightsopen accessspa
dc.type.hasVersionSMUR


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