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dc.contributor.authorLópez Martínez, Carlos
dc.contributor.authorAlonso González, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2015-02-18T16:00:52Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationLopez, C.; Alonso, A. Past and new trends in polarimetric and multidimensional SAR data Speckle noise filtering. A: IEEE International Geoscience and Remote Sensing Symposium. "2014 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 13–18, 2014, Québec City, Québec, Canada". Québec: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 45-48.
dc.identifier.isbn978-1-4799-5775-0
dc.identifier.urihttp://hdl.handle.net/2117/26419
dc.description.abstractSpeckle noise represents one of the main components of the multidimensional SAR signal that limit the complete exploitation of multidimensional SAR data, and polarimetric SAR data in particular. This paper consider the main trends in the characterization and the filtering of the multidimensional Speckle noise component.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshRemote sensing
dc.subject.lcshSyntethic aperture radar
dc.titlePast and new trends in polarimetric and multidimensional SAR data Speckle noise filtering
dc.typeConference report
dc.subject.lemacTeledetecció
dc.subject.lemacRadar d'obertura sintètica
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/IGARSS.2014.6946351
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15390910
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorLopez, C.; Alonso, A.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.pubplaceQuébec
local.citation.publicationName2014 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 13–18, 2014, Québec City, Québec, Canada
local.citation.startingPage45
local.citation.endingPage48


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