Statistical Properties of an Unassisted Image Quality Index for SAR Imagery
CTIM—Centro de Tecnologías de la Imagen, University of Las Palmas de Gran Canaria, 35017 Las Palmas, Gran Canaria, Spain
Departamento de Estatística, CAST—Computational Agriculture Statistics Laboratory, Universidade Federal de Pernambuco, Recife 50740-540, Brazil
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
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
estimator to extend its capabilities.
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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.
Gomez L, Ospina R, Frery AC. Statistical Properties of an Unassisted Image Quality Index for SAR Imagery. Remote Sensing. 2019; 11(4):385.
Gomez, Luis; Ospina, Raydonal; Frery, Alejandro C. 2019. "Statistical Properties of an Unassisted Image Quality Index for SAR Imagery." Remote Sens. 11, no. 4: 385.
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