A Modification of Rician Distribution for SAR Image Modelling

Oktay Karakus, Ercan E. Kuruoglu, Alin M Achim

Research output: Contribution to journalArticle (Academic Journal)


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.
Original languageEnglish
Publication statusUnpublished - 9 Oct 2020


Dive into the research topics of 'A Modification of Rician Distribution for SAR Image Modelling'. Together they form a unique fingerprint.

Cite this