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dc.contributor.authorDeng, Xinping
dc.contributor.authorLópez Martínez, Carlos
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-10-26T14:40:48Z
dc.date.available2016-10-26T14:40:48Z
dc.date.issued2016-07-01
dc.identifier.citationDeng, X., Lopez, C. Higher order statistics for texture analysis and physical interpretation of polarimetric SAR data. "IEEE Geoscience and Remote Sensing Letters", 1 Juliol 2016, vol. 13, núm. 7, p. 912-916.
dc.identifier.issn1545-598X
dc.identifier.urihttp://hdl.handle.net/2117/91119
dc.description.abstractThe logarithmic cumulants (log-cumulants for short) of the second and third orders are widely used in the statistical analysis of polarimetric synthetic aperture radar (PolSAR) data. However, both the product model and the finite mixture model may produce the same values of these statistics, which means that the use of these log-cumulants is not enough to determine the statistical model of the data. In this letter, it is demonstrated that the log-cumulants of higher orders can help to distinguish the concept of texture from that of mixture, providing a physical insight into the data statistics. A tool called log-cumulant cube, which helps to visualize this difference, is proposed by considering texture distributions from the Pearson's family. Results on both simulated and real SAR data show that the use of higher order statistics is useful when it comes to the texture analysis of PolSAR data.
dc.format.extent5 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshEarth sciences
dc.subject.lcshRemote sensing
dc.subject.otherHigher order statistics
dc.subject.otherLog-cumulant
dc.subject.otherPolarimetric synthetic aperture radar (PolSAR)
dc.subject.otherTexture analysis
dc.subject.otherImagery
dc.titleHigher order statistics for texture analysis and physical interpretation of polarimetric SAR data
dc.typeArticle
dc.subject.lemacCiències de la terra
dc.subject.lemacTeledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1109/LGRS.2016.2553218
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7462204/?arnumber=7462204
dc.rights.accessOpen Access
drac.iddocument18821619
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TIN2014-55413-C2-1-P
upcommons.citation.authorDeng, X., Lopez, C.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameIEEE Geoscience and Remote Sensing Letters
upcommons.citation.volume13
upcommons.citation.number7
upcommons.citation.startingPage912
upcommons.citation.endingPage916


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