Model-Based Decomposition of Dual-Pol SAR Data: Application to Sentinel-1

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/120484
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dc.contributorSeñales, Sistemas y Telecomunicaciónes_ES
dc.contributor.authorMascolo, Lucio-
dc.contributor.authorCloude, Shane R.-
dc.contributor.authorLopez-Sanchez, Juan M.-
dc.contributor.otherUniversidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señales_ES
dc.contributor.otherUniversidad de Alicante. Instituto Universitario de Investigación Informáticaes_ES
dc.date.accessioned2021-12-28T10:38:25Z-
dc.date.available2021-12-28T10:38:25Z-
dc.date.issued2021-12-23-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing. 2022, 60: 5220119. https://doi.org/10.1109/TGRS.2021.3137588es_ES
dc.identifier.issn0196-2892 (Print)-
dc.identifier.issn1558-0644 (Online)-
dc.identifier.urihttp://hdl.handle.net/10045/120484-
dc.description.abstractIn this study, we advance a new family of model-based decompositions adapted for dual-pol synthetic aperture radar data. These are formulated using the Stokes vector formalism, coupled to mappings from full quad-pol decomposition theory. A generalized model-based decomposition is developed, which allows separation of an arbitrary Stokes vector into partially polarized and polarized wave components. We employ the widely used random dipole cloud as a volume model but, in general, non-dipole options can be used. The cross-polarized phase δ, and the α angle, which is a function of the ratio between wave components, measure the transformation of polarization state on reflection. We apply the decomposition to dual-pol data provided by Sentinel-1 covering different scenarios, such as agricultural, forest, urban and glacial land-ice. We show that the polarized term of received polarization state is not usually the same as the transmitted one, and can therefore be used for key applications, e.g., classification and geo-physical parameter estimation. We show that, for vegetated terrain, depolarization is not the only influencing factor to Sentinel-1 backscattered intensities and, in the case of vertical crops (e.g., rice), this allows the crop orientation effects to be decoupled from volume scattering in the canopy. We demonstrate that coherent dual-pol systems show strong phase signatures over glaciers, where the polarized contribution significantly affects the backscattered state, resulting in elliptical polarization on receive. This is a key result for Sentinel-1, for which dual-pol phase analysis coupled to dense time series offer great opportunities for land-ice monitoring.es_ES
dc.description.sponsorshipThis work was funded by the Spanish Ministry of Science and Innovation, the State Agency of Research (AEI) and the European Funds for Regional Development (EFRD) under Projects TEC2017-85244-C2-1-P and PID2020-117303GB-C22, and by the University of Alicante under grant VIGROB-114.es_ES
dc.languageenges_ES
dc.publisherIEEEes_ES
dc.rights© IEEEes_ES
dc.subjectSentinel-1es_ES
dc.subjectPolarimetric decompositionses_ES
dc.subjectWave polarimetryes_ES
dc.subjectLand-coveres_ES
dc.subjectLand-icees_ES
dc.subject.otherTeoría de la Señal y Comunicacioneses_ES
dc.titleModel-Based Decomposition of Dual-Pol SAR Data: Application to Sentinel-1es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.peerreviewedsies_ES
dc.identifier.doi10.1109/TGRS.2021.3137588-
dc.relation.publisherversionhttps://doi.org/10.1109/TGRS.2021.3137588es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-85244-C2-1-Pes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-117303GB-C22es_ES
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