A Modification of Rician Distribution for SAR Image Modelling
Conference: EUSAR 2021 - 13th European Conference on Synthetic Aperture Radar
03/29/2021 - 04/01/2021 at online
Proceedings: EUSAR 2021
Pages: 6Language: englishTyp: PDF
Authors:
Karakus, Oktay; Achim, Alin (Visual Information Lab, University of Bristol, Bristol, UK)
Kuruoglu, Ercan E. (Data Science and Information Technology Center, Tsinghua-Berkeley Shenzhen Institute, China)
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.