Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12266
 Title: Cauchy-Rician model for backscattering in urban SAR images Authors: Karakuş, OktayKuruoğlu, Ercan EnginAchim, AlinAltınkaya, Mustafa AzizCardiff UniversityTsinghua-Berkeley Shenzhen InstitutUniversity of BristolIzmir Institute of Technology Keywords: Cauchy-Rician ModelSynthetic aperture radarUrban modeling Issue Date: 2022 Publisher: Institute of Electrical and Electronics Engineers Abstract: This letter presents a new statistical model for urban scene synthetic aperture radar (SAR) images by combining the Cauchy distribution, which is heavy tailed, with the Rician backscattering. The literature spans various well-known models most of which are derived under the assumption that the scene consists of multitudes of random reflectors. This idea specifically fails for urban scenes since they accommodate a heterogeneous collection of strong scatterers such as buildings, cars, and wall corners. Moreover, when it comes to analyzing their statistical behavior, due to these strong reflectors, urban scenes include a high number of high amplitude samples, which implies that urban scenes are mostly heavy-tailed. The proposed Cauchy-Rician model contributes to the literature by leveraging nonzero location (Rician) heavy-tailed (Cauchy) signal components. In the experimental analysis, the Cauchy-Rician model is investigated in comparison to state-of-the-art statistical models that include $\mathcal {G}_{0}$ , generalized gamma, and the lognormal distribution. The numerical analysis demonstrates the superior performance and flexibility of the proposed distribution for modeling urban scenes. URI: https://doi.org/10.1109/LGRS.2022.3146370https://hdl.handle.net/11147/12266 Appears in Collections: Computer Engineering / Bilgisayar MühendisliğiScopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications CollectionWoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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