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 |
Appears in Collections: | Artículos |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.