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dc.contributor.authorAlonso González, Alberto
dc.contributor.authorLópez Martínez, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2015-01-19T15:58:03Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationAlonso, A.; Lopez, C. Target characterization by means of PolInSAR temporal evolution. A: IEEE International Geoscience and Remote Sensing Symposium. "Proceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium". Québec: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 57-60.
dc.identifier.isbn978-147995775-0
dc.identifier.urihttp://hdl.handle.net/2117/25933
dc.description.abstractThis work focuses on the exploitation of PolSAR and PolInSAR temporal series datasets in the context of change detection and characterization. Instead of a classical pixel-based approach, a Binary Partition Tree (BPT) data structure is employed to perform a region-based processing of the image. Once the homogeneous regions of the data set are obtained, the temporal dimension of the data is analyzed to quantify the significance of the polarimetric temporal variation. In this work, the PolInSAR information will also be exploited for this purpose, in order to achieve a more detailed characterization of change and no-change areas.
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::Radar
dc.subject.lcshSyntethic aperture radar
dc.titleTarget characterization by means of PolInSAR temporal evolution
dc.typeConference report
dc.subject.lemacRadar d'obertura sintètica
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/IGARSS.2014.6946354
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15373743
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorAlonso, A.; Lopez, C.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.pubplaceQuébec
local.citation.publicationNameProceedings of the 2014 IEEE International Geoscience and Remote Sensing Symposium
local.citation.startingPage57
local.citation.endingPage60


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