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Statistical properties of an unassisted image quality index for SAR imagery

journal contribution
posted on 24.03.2021, 22:47 by L Gomez, R Ospina, Alejandro Frery
© 2019 by the authors. 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.

History

Preferred citation

Gomez, L., Ospina, R. & Frery, A. C. (2019). Statistical properties of an unassisted image quality index for SAR imagery. Remote Sensing, 11(4), 385-385. https://doi.org/10.3390/rs11040385

Journal title

Remote Sensing

Volume

11

Issue

4

Publication date

01/02/2019

Pagination

385-385

Publisher

MDPI AG

Publication status

Published

Online publication date

13/02/2019

ISSN

2315-4675

eISSN

2072-4292

Article number

ARTN 385

Language

en

Exports