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Remote Sens. 2019, 11(4), 385; https://doi.org/10.3390/rs11040385

Statistical Properties of an Unassisted Image Quality Index for SAR Imagery

1,*,†
,
2,†
and
3,†
1
CTIM—Centro de Tecnologías de la Imagen, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Gran Canaria, Spain
2
Departamento de Estatística, CAST—Computational Agriculture Statistics Laboratory, Universidade Federal de Pernambuco, Recife 50740-540, Brazil
3
LaCCAN—Laboratório de Computação Científica e Análise Numérica, Universidade Federal de Alagoas, Maceió AL 57072-900, Brazil
*
Author to whom correspondence should be addressed.
The authors contributed equally to this work.
Received: 31 December 2018 / Revised: 30 January 2019 / Accepted: 8 February 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Radar Imaging Theory, Techniques, and Applications)
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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 the M estimator to extend its capabilities. View Full-Text
Keywords: speckle; SAR; despeckling; image-quality index; M estimator; ANOVA speckle; SAR; despeckling; image-quality index; M estimator; ANOVA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Gomez, L.; Ospina, R.; Frery, A.C. Statistical Properties of an Unassisted Image Quality Index for SAR Imagery. Remote Sens. 2019, 11, 385.

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