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Title: Finding structures in ratio images
Authors: Frery, Alejandro C. 
Ospina, Raydonal
Gómez Déniz, Luis 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
Keywords: Synthetic Aperture Radar
Remote sensing
Issue Date: 2015
Journal: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conference: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 
Abstract: Synthetic Aperture Radar (SAR) imaging play a central role in Remote Sensing applications 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 noise, that can be described by a multiplicative model. Many despeckling techniques have been proposed in the literature, as well as measure of the quality of the results they provide. Speckle filters provide (X) over cap, estimator of the true image X, based solely on the observed data Z, then an ideal estimator would be the one for which the ratio of the observed image to the filtered one Pi =Z/(X) over cap is only speckle. The quality of the filter can be, then, assessed by its closeness to this hypothesis. We tackle the problem of quantitatively measuring the quality of speckle filters by the criterion of lack of structure in the ratio image they produce. We propose the use of Haralick's textural features for the identification of remaining structures in ratio images. In order to do so, we first analyze the distribution of such features under the null hypothesis (H-0) of absence of structure; then we sample from ratio images with barely visible remaining structures.
ISBN: 9781479979295
ISSN: 2153-6996
DOI: 10.1109/IGARSS.2015.7325807
Source: 2015 Ieee International Geoscience And Remote Sensing Symposium (Igarss) [ISSN 2153-6996], p. 489-492, (2015)
Appears in Collections:Actas de congresos
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