Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/56177
Title: Statistical properties of an unassisted image quality index for SAR imagery
Authors: Gómez Déniz, Luis 
Ospina, Raydonal
C. Frery, Alejandro 
UNESCO Clasification: 1209 Estadística
Keywords: Speckle
SAR
Despeckling
Image-quality index
M estimator, et al
Issue Date: 2019
Project: Nuevos Modelos Matemáticos Para la Segmentación y Clasificación en Imágenes 
Journal: Remote Sensing 
Abstract: The M estimator is a recently proposed image-quality index used to evaluate the despeckling operation in SAR (Synthetic Aperture Radar) data. It is used also to rank despeckling filters and to improve their design. As a difference with traditional image-quality estimators, it operates not on the filtered result but on a derived one, i.e., the ratio image. However, a deep statistical analysis of its properties remains open and, with it, the ability to use it as a test statistic. In this work, we focus on obtaining insights into its distribution as well as on exploring other remarkable statistical properties of this unassisted estimator. This study is performed through EDA (Exploratory Data Analysis) and the well-known ANOVA (ANalysis Of VAriance). We test our results on a set of simulated SAR data and provide guides to enrich theMestimator to extend its capabilities.
URI: http://hdl.handle.net/10553/56177
ISSN: 2072-4292
DOI: 10.3390/rs11040385
Source: Remote Sensing [ISSN 2072-4292], v. 11 (4), p. 385
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