Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46179
Título: A benchmark for despeckling filters
Autores/as: Gomez, Luis 
Álvarez, Luis 
De Lima Pinheiro, Rodrigo
Frery, Alejandro C. 
Clasificación UNESCO: 120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Palabras clave: Speckle Reduction
Sar Imagery
Fecha de publicación: 2016
Editor/a: 2197-4403
Publicación seriada: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR 
Conferencia: 11th European Conference on Synthetic Aperture Radar, EUSAR 2016 
Resumen: The validation of filters for SAR image denoising is mostly performed through personal choices of experimentation on a set of author-selected synthetic and true SAR images, which makes the objective elucidation of their benefits over well-established filtering methods hard. Following the example of other scientific fields, this situation can be alleviated by providing a set of reference images to test new methods on thorough quantitative measures of quality. We propose an extensible benchmark for speckle denoising techniques. We also stress the need to establish a repository with a pool of error-free and correctly codified denoising filters and quality estimators.
URI: http://hdl.handle.net/10553/46179
ISSN: 2197-4403
Fuente: 11Th European Conference On Synthetic Aperture Radar (Eusar 2016)[ISSN 2197-4403], p. 451-454, (2016)
Colección:Actas de congresos
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