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dc.contributor.authorGuo, Bowen
dc.contributor.authorHuang, Yunsong
dc.contributor.authorRøstad, Anders
dc.contributor.authorSchuster, Gerard T.
dc.date.accessioned2016-06-23T09:19:22Z
dc.date.available2016-06-23T09:19:22Z
dc.date.issued2016-05-20
dc.identifier.citationFar-field super-resolution imaging of resonant multiples 2016, 2 (5):e1501439 Science Advances
dc.identifier.issn2375-2548
dc.identifier.pmid27386521
dc.identifier.doi10.1126/sciadv.1501439
dc.identifier.urihttp://hdl.handle.net/10754/614388
dc.description.abstractWe demonstrate for the first time that seismic resonant multiples, usually considered as noise, can be used for super-resolution imaging in the far-field region of sources and receivers. Tests with both synthetic data and field data show that resonant multiples can image reflector boundaries with resolutions more than twice the classical resolution limit. Resolution increases with the order of the resonant multiples. This procedure has important applications in earthquake and exploration seismology, radar, sonar, LIDAR (light detection and ranging), and ultrasound imaging, where the multiples can be used to make high-resolution images.
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science (AAAS)
dc.relation.urlhttp://advances.sciencemag.org/cgi/doi/10.1126/sciadv.1501439
dc.rightsArchived with thanks to Science Advances
dc.subjectseismic resonant multiples
dc.subjectsuper-resolution imaging
dc.titleFar-field super-resolution imaging of resonant multiples
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentCenter for Subsurface Imaging and Fluid Modeling
dc.contributor.departmentEarth Science and Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalScience Advances
dc.eprint.versionPublisher's Version/PDF
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personRøstad, Anders
kaust.personSchuster, Gerard T.
kaust.personGuo, Bowen
refterms.dateFOA2018-06-13T15:16:29Z
dc.date.published-online2016-05-20
dc.date.published-print2016-05-20


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