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dc.contributor.authorIglesias González, Rubén
dc.contributor.authorMonells Miralles, Daniel
dc.contributor.authorLópez Martínez, Carlos
dc.contributor.authorMallorquí Franquet, Jordi Joan
dc.contributor.authorFabregas Canovas, Francisco Javier
dc.contributor.authorAguasca Solé, Alberto
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationIglesias, R., Monells, D., Lopez, C., Mallorqui, J.J., Fabregas, F., Aguasca, A. Polarimetric optimization of temporal sublook coherence for DInSAR applications. "IEEE Geoscience and Remote Sensing Letters", 1 Gener 2015, vol. 12, núm. 1, p. 87-91.
dc.description©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractThe application of differential synthetic aperture radar interferometry (DInSAR) techniques has been traditionally limited to the single-polarimetric case. The launch of satellites with polarimetric capabilities has triggered the synergy between polarimetric and interferometric algorithms, leading to a significant improvement in final DInSAR products. During the last years, the different polarimetric optimization techniques available have been successfully applied to the so-called classical phase quality estimators, i.e., the coherence and the amplitude dispersion estimators. In this context, a new estimator to evaluate the pixels' phase quality, referred to as temporal sublook coherence (TSC), has recently demonstrated to provide promising results in DInSAR applications. The nature of this estimator, which is based on exploiting the spectral properties of pointlike scatterers through the coherence evaluation of different sublooks of the image spectrum, allows its adaptation to the existing polarimetric optimization methods. This letter presents the benefits of extending the TSC estimator to work with fully polarimetric data. For this purpose, a fully polarimetric data set consisting of ten X-band ground-based SAR (GB-SAR) images is employed. The final DInSAR results obtained by means of TSC polarimetric optimization are compared with the ones obtained with its classical single-polarimetric approach, achieving up to more than a twofold increase in the pixels' density.
dc.format.extent5 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshSyntethic aperture radar
dc.subject.otherDifferential synthetic aperture radar interferometry (DInSAR)
dc.subject.otherGround-based synthetic aperture radar (GB-SAR)
dc.subject.otherPolarimetric optimization
dc.subject.otherPolarimetric differential synthetic aperture radar interferometry (PolDInSAR)
dc.subject.otherTemporal sublook coherence (TSC)
dc.subject.otherDifferential SAR interferometry
dc.subject.otherGround-based SAR
dc.titlePolarimetric optimization of temporal sublook coherence for DInSAR applications
dc.subject.lemacRadar d'obertura sintètica
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorIglesias, R.; Monells, D.; Lopez, C.; Mallorqui, J.J.; Fabregas, F.; Aguasca, A.
local.citation.publicationNameIEEE Geoscience and Remote Sensing Letters

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