DocumentCode :
2109592
Title :
Emissivities and back-scattering coefficients of random lossy dielectric rough surfaces at microwave frequencies based on 3-dimensional numerical simulations
Author :
Zhou, L. ; Li, Q. ; Tsang, L. ; Shi, J. ; Jandhyala, V. ; Chen, K.S. ; Li, S.Q. ; Chan, C.H.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1362
Abstract :
Presents results for full three-dimensional simulations of numerical solutions of Maxwell equations for random rough surfaces. Emissivities and back-scattering coefficients are calculated for soil surfaces and ocean surfaces at microwave frequencies. This is unlike analytical methods or empirical models in that different roughness parameters are used for different microwave frequencies and for active and passive remote sensing. With advances in computational electromagnetics and available computer resources, we calculate 3-dimensional Maxwell equation solutions with a 2-D rough surface for practical remote sensing applications. Highlights of our numerical approach are: (i) the sparse-matrix canonical grid method (SMCG) and the physics-based two-grid method (PBTG) are used. (ii) An algorithm has been implemented for parallel computing. Dense discretization of the surfaces is used because of high permittivity and the energy conservation check is verified. We present results for soil surfaces in L- and C-bands, and for ocean surfaces at 19 GHz
Keywords :
absorbing media; backscatter; ocean waves; random media; remote sensing; rough surfaces; soil; 19 GHz; 2D rough surface; 3D Maxwell equation solutions; 3D numerical simulations; C-band; L-band; Maxwell equations; active remote sensing; backscattering coefficients; computational electromagnetics; emissivities; energy conservation check; microwave frequencies; ocean surfaces; parallel computing; passive remote sensing; permittivity; physics-based two-grid method; random lossy dielectric rough surfaces; remote sensing applications; roughness parameters; soil surfaces; sparse-matrix canonical grid method; Computational electromagnetics; Maxwell equations; Microwave frequencies; Numerical simulation; Oceans; Remote sensing; Rough surfaces; Sea surface; Soil; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
Type :
conf
DOI :
10.1109/IGARSS.2001.976845
Filename :
976845
Link To Document :
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