Speckle noise reduction in SAR images using information theory

Chan, Debora; Gambini, Juliana; Frery, Alejandro C.

ponencia en congreso.page.titleprefix
Speckle noise reduction in SAR images using information theory

dc.contributor.author	Chan, Debora
dc.contributor.author	Gambini, Juliana
dc.contributor.author	Frery, Alejandro C.
dc.date.accessioned	2020-12-17T14:56:51Z
dc.date.available	2020-12-17T14:56:51Z
dc.date.issued	2020
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.uri	http://ri.itba.edu.ar/handle/123456789/3258
dc.language.iso	en	en
dc.relation	info:eu-repo/semantics/altIdentifier/doi/10.1109/LAGIRS48042.2020.9165582
dc.subject	ENTROPIA
dc.subject	FILTROS
dc.subject	RADAR DE APERTURA SINTETICA
dc.subject	RUIDO
dc.subject	DISTRIBUCION
dc.title	Speckle noise reduction in SAR images using information theory	en
dc.type	Ponencias en Congresos	es
dc.type	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Chan, Debora. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina.
itba.description.filiation	Fil: Gambini, Juliana. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Gambini, Juliana. Universidad Nacional de Tres de Febrero; Argentina.
itba.description.filiation	Fil: Frery, Alejandro C. Universidade Federal de Alagoas; Brasil.