Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/23787
Title: Unassisted quantitative evaluation of despeckling filters
Authors: Gomez, Luis 
Ospina, Raydonal
Frery, Alejandro C. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Quality assessment
Ratio images
Synthetic Aperture Radar (SAR)
Speckle
Speckle filters
Issue Date: 2017
Journal: Remote Sensing 
Abstract: SAR (Synthetic Aperture Radar) imaging plays a central role in Remote Sensing due to, among other important features, its ability to provide high-resolution, day-and-night and almost weather-independent images. SAR images are affected from a granular contamination, speckle, that can be described by a multiplicative model. Many despeckling techniques have been proposed in the literature, as well as measures of the quality of the results they provide. Assuming the multiplicative model, the observed image Z is the product of two independent fields: the backscatter X and the speckle Y. The result of any speckle filter is Xb, an estimator of the backscatter X, based solely on the observed data Z
URI: http://hdl.handle.net/10553/23787
ISSN: 2072-4292
DOI: 10.3390/rs9040389
Source: Remote Sensing [ISSN 2072-4292], v. 9 (4), (389)
Rights: by-nc-nd
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