Monte-Carlo simulations of emissivities of random dielectric rough surfaces and comparisons with the small perturbation method

Author

Li, Qin ; Tsang, Leung ; Pak, Kyung ; Chan, Chi Hou

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

5

fYear

1999

fDate

1999

Firstpage

2422

Abstract

Wave scattering from a two-dimensional lossy dielectric random rough surfaces (three-dimensional scattering problem) with large permittivity is studied by using numerical simulations. A physics-based two-grid method (PBTG) is extended from 1D surfaces to 2D surfaces to deal with the problem. The sparse matrix canonical grid method (SMCG) is used in conjunction with the PBTG to speed up computation. Applying this method, the emissivities of random dielectric rough surfaces are calculated. The results are compared with those from the second order small perturbation method

Keywords

Monte Carlo methods; backscatter; geophysical techniques; ocean waves; oceanographic techniques; radar cross-sections; radar theory; radiometry; remote sensing; remote sensing by radar; rough surfaces; terrain mapping; Monte Carlo method; Monte-Carlo simulation; backscatter; emissivity; geophysical measurement technique; land surface; large permittivity; microwave radiometry; numerical simulation; ocean; physics-based two-grid method; radar remote sensing; radar scattering; random dielectric rough surface; random rough surface; remote sensing; rough surface; sea surface; second order small perturbation method; small perturbation method; sparse matrix canonical grid method; terrain mapping; three-dimensional scattering problem; two-dimensional lossy dielectric surface; Dielectric losses; Grid computing; Numerical simulation; Permittivity; Perturbation methods; Rough surfaces; Scattering; Sparse matrices; Surface roughness; Surface waves;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.771530

Filename

771530