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dc.contributor.author Fernández Michelli, Juan Ignacio
dc.contributor.author Hurtado, Martin
dc.contributor.author Areta, Javier Alberto
dc.contributor.author Muravchik, Carlos Horacio
dc.date.available 2018-02-06T18:47:07Z
dc.date.issued 2014-08
dc.identifier.citation Fernández Michelli, Juan Ignacio; Hurtado, Martin; Areta, Javier Alberto; Muravchik, Carlos Horacio; Polarimetric SAR Image Segmentation using CEM Algorithm; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 12; 5; 8-2014; 910-914
dc.identifier.issn 1548-0992
dc.identifier.uri http://hdl.handle.net/11336/35841
dc.description.abstract In this work we perform Synthetic Aperture Radar (SAR) polarimetric images segmentation based on the Classification-Expectation-Maximization (CEM) method, with both supervised and unsupervised initialization. In the former case, the algorithm is randomly initialized with the number of classes as the only initial information, while in the unsupervised case initialization is based on a previous classification. Real EMISAR Single-Look-Complex (SLC) data are used, with Mixing Gaussian model. Results are compared with those obtained by Wishart unsupervised classification method, which is a well-known and widely used method for radar image classification. Finally, Davies-Bouldin index is applied for quantitative comparison between the obtained segmentations, and for studying the CEM method performance.
dc.format application/pdf
dc.language.iso spa
dc.publisher Institute of Electrical and Electronics Engineers
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject SAR
dc.subject Segmentación
dc.subject Clasificación
dc.subject Expectation Maximization
dc.subject.classification Ingeniería de Sistemas y Comunicaciones
dc.subject.classification Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification INGENIERÍAS Y TECNOLOGÍAS
dc.title Polarimetric SAR Image Segmentation using CEM Algorithm
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2018-02-05T20:13:08Z
dc.journal.volume 12
dc.journal.number 5
dc.journal.pagination 910-914
dc.journal.pais Estados Unidos
dc.description.fil Fil: Fernández Michelli, Juan Ignacio. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil Fil: Hurtado, Martin. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil Fil: Areta, Javier Alberto. Universidad Nacional de Rio Negro. Sede Andina. Departamento de Ciencias Exactas, Naturales y de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil Fil: Muravchik, Carlos Horacio. Universidad Nacional de la Plata. Facultad de Ingeniería. Departamento de Electrotecnia; Argentina
dc.journal.title IEEE Latin America Transactions
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2014.6872905
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6872905/
dc.conicet.fuente individual


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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)