A Generalized Gaussian Extension to the Rician Distribution for SAR Image Modeling
نویسندگان
چکیده
We present a novel statistical model, the generalized-Gaussian-Rician (GG-Rician) distribution, for characterization of synthetic aperture radar (SAR) images. Since accurate models lead to better results in applications such as target tracking, classification, or despeckling, characterizing SAR images various scenes including urban, sea surface, agricultural is essential. The proposed model based on Rician distribution amplitude complex signal, in-phase and quadrature components which are assumed be generalized-Gaussian (GG) distributed. GG-Rician further extended cover intensity signals. In experimental analysis, investigated frequency bands comparison state-of-the-art that include Weibull, G?, Generalized gamma, lognormal distribution. significance analysis goodness-of-fit test demonstrate superior performance flexibility all scenes, its applicability both
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2021
ISSN: ['0196-2892', '1558-0644']
DOI: https://doi.org/10.1109/tgrs.2021.3069091