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dc.contributor.authorDurán Martínez, Israel
dc.contributor.authorLin, Wu
dc.contributor.authorTorres Torres, Francisco
dc.contributor.authorCorbella Sanahuja, Ignasi
dc.contributor.authorDuffo Ubeda, Núria
dc.contributor.authorMartín Neira, Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2017-02-07T10:50:19Z
dc.date.issued2016
dc.identifier.citationDuran, I., Lin, W., Torres, F., Corbella, I., Duffo, N., Martín, M. SMOS simplified iterative full-pol brightness temperature retrieval. A: IEEE International Geoscience and Remote Sensing Symposium. "2016 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 10-15, 2016: Beijing, China". Beijing: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 842-845.
dc.identifier.isbn9781509022342
dc.identifier.urihttp://hdl.handle.net/2117/100615
dc.description.abstractSMOS is the acronym for the Soil Moisture and Ocean Salinity mission by the European Space Agency (ESA) [1]. Its single payload, the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS), was successfully launched in November 2009. Along more than six years of operation, SMOS calibration and imaging algorithms have undergone a continuous evolution to further improve the accuracy of the retrieved geophysical parameters for a variety of scientific applications related with soil moisture and ocean salinity [2]. This paper analyzes a simplified iterative image reconstruction method that exclusively takes into account the dominant terms in the full-polarimetric equation [3]. This simplified method, that reduces computation time up to 50% at the cost of small radiometric performance degradation, is useful to the L1 teams to fine tune the calibration of the instrument when processing a large amount of data is required.
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.lcshSoil moisture--Measurement
dc.subject.lcshPolarimetry
dc.subject.lcshRemote sensing
dc.subject.lcshImaging systems in geophysics
dc.subject.otherGeophysical image processing
dc.subject.otherImage reconstruction
dc.subject.otherMoisture
dc.subject.otherPolarimetry
dc.subject.otherRadiometry
dc.subject.otherRemote sensing
dc.subject.otherSalinity (geophysical) – soil
dc.subject.otherSMOS mission
dc.subject.otherIterative full-polarimetric brightness temperature retrieval
dc.subject.otherSoil Moisture and Ocean Salinity Mission
dc.subject.otherMicrowave Imaging Radiometer using Aperture Synthesis
dc.subject.otherAD 2009 11
dc.subject.otherSMOS calibration
dc.subject.otherSMOS imaging algorithm
dc.subject.otherGeophysical parameters
dc.subject.otherSoil moisture
dc.subject.otherOcean salinity
dc.subject.otherImage reconstruction
dc.subject.otherFull-polarimetric equation
dc.subject.otherRadiometric performance degradation
dc.subject.otherInstrument calibration
dc.titleSMOS simplified iterative full-pol brightness temperature retrieval
dc.typeConference report
dc.subject.lemacSòls -- Humitat -- Mesurament
dc.subject.lemacPolarització (Llum)
dc.subject.lemacTeledetecció
dc.subject.lemacImatge, Tècniques d'
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. RF&MW - Grup de Recerca de sistemes, dispositius i materials de RF i microones
dc.identifier.doi10.1109/IGARSS.2016.7729213
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7729213/
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac19355140
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorDuran, I.; Lin, W.; Torres, F.; Corbella, I.; Duffo, N.; Martín, M.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.pubplaceBeijing
local.citation.publicationName2016 IEEE International Geoscience & Remote Sensing Symposium: proceedings: July 10-15, 2016: Beijing, China
local.citation.startingPage842
local.citation.endingPage845


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