Ponencia en Congreso:
Speckle noise reduction in SAR images using information theory

dc.contributor.authorChan, Debora
dc.contributor.authorGambini, Juliana
dc.contributor.authorFrery, Alejandro C.
dc.date.accessioned2020-12-17T14:56:51Z
dc.date.available2020-12-17T14:56:51Z
dc.date.issued2020
dc.description.abstract"In this work, a new nonlocal means filter for single-look speckled data using the Shannon and Renyi entropies is proposed. The measure of similarity between a central window and patches of the image is based on a statistical test for comparing if two samples have the same entropy and hence have the same distribution. The results are encouraging, as the filtered image has better signal-to-noise ratio, it preserves the mean, and the edges are not severely blurred."en
dc.identifier.urihttp://ri.itba.edu.ar/handle/123456789/3258
dc.language.isoenen
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1109/LAGIRS48042.2020.9165582
dc.subjectENTROPIA
dc.subjectFILTROS
dc.subjectRADAR DE APERTURA SINTETICA
dc.subjectRUIDO
dc.subjectDISTRIBUCION
dc.titleSpeckle noise reduction in SAR images using information theoryen
dc.typePonencias en Congresoses
dc.typeinfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePonencia en Congreso
itba.description.filiationFil: Chan, Debora. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina.
itba.description.filiationFil: Gambini, Juliana. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiationFil: Gambini, Juliana. Universidad Nacional de Tres de Febrero; Argentina.
itba.description.filiationFil: Frery, Alejandro C. Universidade Federal de Alagoas; Brasil.

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