Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Modification of Rician Distribution for SAR Image Modelling

Version 1 : Received: 8 October 2020 / Approved: 9 October 2020 / Online: 9 October 2020 (15:47:49 CEST)
(This article belongs to the Research Topic EUSAR 2020—Preprints)

How to cite: Karakuş, O.; Kuruoglu, E.E.; Achim, A. A Modification of Rician Distribution for SAR Image Modelling. Preprints 2020, 2020100209 (doi: 10.20944/preprints202010.0209.v1). Karakuş, O.; Kuruoglu, E.E.; Achim, A. A Modification of Rician Distribution for SAR Image Modelling. Preprints 2020, 2020100209 (doi: 10.20944/preprints202010.0209.v1).

Abstract

This paper presents a novel statistical model i.e. the Laplace-Rician distribution, for the characterisation of synthetic aperture radar (SAR) images. Since accurate statistical models lead to better results in applications such as target tracking, classification, or despeckling, characterising SAR images of various scenes including urban, sea surface, or agricultural, is essential. The proposed Laplace-Rician model is investigated for SAR images of several frequency bands and various scenes in comparison to state-of-the-art statistical models that include K, Weibull, and Lognormal. The results demonstrate the superior performance and flexibility of the proposed model for all frequency bands and scenes.

Supplementary and Associated Material

Subject Areas

SAR amplitude; Laplace distribution; Rician distribution; Statistical modelling

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.