SAR Image segmentation based on multifractal features

Pacheco, Cristian; Gambini, Juliana; Delrieux, Claudio

ponencia en congreso.page.titleprefix
SAR Image segmentation based on multifractal features

dc.contributor.author	Pacheco, Cristian
dc.contributor.author	Gambini, Juliana
dc.contributor.author	Delrieux, Claudio
dc.date.accessioned	2020-03-26T15:14:54Z
dc.date.available	2020-03-26T15:14:54Z
dc.date.issued	2019-09
dc.description.abstract	"Synthetic Aperture Radar (SAR) imaging is based on airborne or satellite active microwave sensors that can capture the earth surface by emitting a signal and receiving the backscattered signal that forms the resulting image. Since microwave radiation is not interfered by sunlight and can pass through clouds, SAR imagery can be generated oblivious to weather and daylight conditions. However, the active nature of the imaging process determines that SAR images are contaminated by an inherent speckle noise that may degrade significantly the quality and usefulness of the images, and specific noise-removal processes may also filter out relevant textural information. In this article, we propose a texture-based method that can be applied for region segmentation in SAR imagery. The method is based on local analysis of the multifractal spectrum and a clustering procedure. The outcomes obtained both with synthetic and real SAR images show better region segmentation results than with state-of-the-art proposals."	en
dc.identifier.isbn	978-1728-123-63-9
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/1918
dc.language.iso	en	en
dc.relation	info:eu-repo/semantics/altIdentifier/doi/10.1109/RPIC.2019.8882173
dc.relation	info:eu-repo/grantAgreement/CONAE/AO-SAOCOM/AR. Ciudad Autónoma de Buenos Aires
dc.subject	RADAR DE APERTURA SINTETICA	es
dc.subject	PROCESAMIENTO DE IMAGENES	es
dc.subject	ANALISIS ESPECTRAL	es
dc.subject	SEGMENTACION DE IMAGENES	es
dc.title	SAR Image segmentation based on multifractal features	en
dc.type	Ponencias en Congresos	es
dc.type	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Pacheco, Cristian. Consejo Nacional de Investigaciones Científicas y Técnicas; 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: Delrieux, Claudio. Universidad Nacional del Sur; Argentina.