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Article Dans Une Revue IEEE Transactions on Geoscience and Remote Sensing Année : 2020

Modeling the Polarization Ratio in the Upper Microwave Band for Sea Clutter Analysis

Résumé

The Two-scale Model (TSM) based on Bragg tilting is widely employed to model the normalized radar cross section (NRCS) from the sea surface in the microwave bands. It also leads to the compound distribution model when used to represent the distribution of intensity in high-resolution sea clutter. While the TSM satisfactorily describes the dynamical behavior of the polarized NRCS at moderate incidence angles for various sea states and radar frequencies, it fails to consistently describe the polarized sea clutter distribution in the upper microwave band. The hid-den reason is an overestimation of the Bragg polarization ratio (PR) at larger local incidence angles. Following the concept of universal analytical scattering models and based on the experimental evidence of several independent X-band airborne datasets, we propose a simple correction to the facet NRCS which brings the PR in closer agreement to the observations and makes it analytically very close to the popular Thompson model. This amended model preserves the simple structure of Bragg scattering; it admits one single extra parameter which makes a dynamical transition between the asymptotic Bragg and Kirchhoff regime depending on the sea state and the radar frequency. This allows to correctly describing the angular variations of the PR in the upper microwave regime (C, X and Ku bands) with minimal a priori information regarding the sea surface. Once this correction is incorporated in the TSM, a consistent modelling of the polarized sea clutter intensity can be obtained with the compound distribution model.
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Dates et versions

hal-02960577 , version 1 (25-05-2021)

Identifiants

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Floriane Madeleine Schreiber, Sebastien Angelliaume, Charles-Antoine Guérin. Modeling the Polarization Ratio in the Upper Microwave Band for Sea Clutter Analysis. IEEE Transactions on Geoscience and Remote Sensing, In press, pp.1-13. ⟨10.1109/TGRS.2020.3025683⟩. ⟨hal-02960577⟩
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