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Journal Articles IEEE Geoscience and Remote Sensing Letters Year : 2020

A new parametrization for the Rician distribution

Abstract

The Rician distribution is widely used in SAR imagery to model the backscattering of a strong target inside a resolution cell. Nevertheless the computation of the parameters of the Rice distribution remains a difficult task. In this paper, a new parametrization to model the Rice distribution is introduced. Thanks to the introduction of a new variable defined by the ratio of the target contribution to the speckle, the relationship between the coefficient of variation and this new parameter can be derived. An efficient numerical method is proposed to evaluate it from the coefficient of variation and a discussion on the variance of this estimator is led. A comparison with other methods of estimation showed that the proposed approach is a good compromise between the variance of the estimate and the computation time. At last, a link between permanent scatterers and Rice distributed targets is proposed through this new parametrization.
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Dates and versions

hal-02553977 , version 1 (24-04-2020)

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Jean Marie Nicolas, Florence Tupin. A new parametrization for the Rician distribution. IEEE Geoscience and Remote Sensing Letters, 2020, ⟨10.1109/LGRS.2019.2957240⟩. ⟨hal-02553977⟩
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