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, Oktay Kuruoğlu, Ercan Engin Achim, Alin Altınkaya, Mustafa Aziz |
Keywords: | Cauchy-Rician Model Synthetic aperture radar Urban modeling |
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.2022.3146370 https://hdl.handle.net/11147/12266 |
Appears in Collections: | Computer Engineering / Bilgisayar Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Files in This Item:
File | Description | Size | Format | |
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CauchyRician_Model.pdf | Article | 3.67 MB | Adobe PDF | View/Open |
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