Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/47614
Title: Evolutionary expert-supervised despeckled srad filter design for enhancing SAR images
Authors: Gomez, Luis 
Munteanu, Cristian
Jacobo-Berlles, Julio
Mejail, Marta
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: synthetic aperture radar
Speckle
anisotropic
Issue Date: 2011
Publisher: 1545-598X
Journal: IEEE Geoscience and Remote Sensing Letters 
Abstract: We present an interactive easy-to-use software package, based on an evolutionary algorithm, to perform adaptive anisotropic diffusion speckle filtering for synthetic aperture radar (SAR) images. As a main difference from other methodologies, there is an integration of a SAR-image human expert who provides a subjective validation to complete the diffusion filter design. We have applied an interactive methodology to a set of SAR images, and we compared the results with those obtained by other speckle reduction filters. The results, through the evaluation of objective global and local quality criteria, show the potential of the proposal.
URI: http://hdl.handle.net/10553/47614
ISSN: 1545-598X
DOI: 10.1109/LGRS.2011.2114323
Source: IEEE Geoscience and Remote Sensing Letters[ISSN 1545-598X],v. 8 (5738659), p. 814-818
Appears in Collections:Artículos
Show full item record

SCOPUSTM   
Citations

6
checked on Jul 25, 2021

WEB OF SCIENCETM
Citations

6
checked on Jul 25, 2021

Page view(s)

5
checked on Jul 18, 2021

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.