How to cite:
Karakuş, O.; Kuruoglu, E.E.; Achim, A. A Modification of Rician Distribution for SAR Image Modelling. Preprints2020, 2020100209. https://doi.org/10.20944/preprints202010.0209.v1
Karakuş, O.; Kuruoglu, E.E.; Achim, A. A Modification of Rician Distribution for SAR Image Modelling. Preprints 2020, 2020100209. https://doi.org/10.20944/preprints202010.0209.v1
Karakuş, O.; Kuruoglu, E.E.; Achim, A. A Modification of Rician Distribution for SAR Image Modelling. Preprints2020, 2020100209. https://doi.org/10.20944/preprints202010.0209.v1
APA Style
Karakuş, O., Kuruoglu, E.E., & Achim, A. (2020). A Modification of Rician Distribution for SAR Image Modelling. Preprints. https://doi.org/10.20944/preprints202010.0209.v1
Chicago/Turabian Style
Karakuş, O., Ercan E Kuruoglu and Alin Achim. 2020 "A Modification of Rician Distribution for SAR Image Modelling" Preprints. https://doi.org/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.
SAR amplitude; Laplace distribution; Rician distribution; Statistical modelling
Subject
Engineering, Automotive Engineering
Copyright:
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.
