Simulation of Microwave Backscattering from Sea Surface Using an Improved Two-Scale Model - ENSTA Bretagne - École nationale supérieure de techniques avancées Bretagne Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Simulation of Microwave Backscattering from Sea Surface Using an Improved Two-Scale Model

Jie Zhang
Ali Khenchaf

Résumé

The two-scale model (TSM) has been frequently used in the study of EM (electromagnetic) scattering from rough surface due to its simple and practical merit. However, for microwave scattering from sea surface, it cannot provide accurate predictions for hh (horizontal) polarization. To overcome this problem, an improved version of the TSM (ITSM) which can be better used for predicting microwave scattering from sea surface is proposed in this paper. In the ITSM, we propose to use two cutoff parameters to separate sea surface roughness. For k w <;k cs , the KA-SP (Kirchhoff approximation-stationary phase approximation) rather than KA-GO (Kirchhoff approximation-geometric optics approximation) is employed to simulate the specular scattering component. For k w >k cb , the SPM modulated by tilts of large-scale waves is employed to simulate the Bragg scattering component. The values of k cs and k cb are chosen according to the validity conditions of the KA and the SPM. The numerical comparisons illustrate that the ITSM performs better than the TSM and the SSA-1, especially in the prediction of hh polarized scattering coefficient.
Fichier principal
Vignette du fichier
Zheng2020.pdf (147.62 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03327516 , version 1 (19-01-2023)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Honglei Zheng, Jie Zhang, Ali Khenchaf, Yanmin Zhang, Yunhua Wang. Simulation of Microwave Backscattering from Sea Surface Using an Improved Two-Scale Model. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Sep 2020, Waikoloa, United States. pp.344-347, ⟨10.1109/IGARSS39084.2020.9323417⟩. ⟨hal-03327516⟩
33 Consultations
37 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More