DocumentCode
291416
Title
Studies of large scale random rough surface problems with the sparse-matrix flat-surface iterative approach
Author
Pak, Kyung ; Tsang, Leung ; Chan, Chi H.
Author_Institution
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Volume
1
fYear
1994
fDate
8-12 Aug 1994
Firstpage
267
Abstract
Scattering of the TE incident wave from a perfectly conducting random rough surface is studied. First, the vector electromagnetic scattering from a two-dimensional rough surface with a surface area of 81 square wavelengths is illustrated. Monte Carlo results show backscattering enhancement for the co-polarized component. Secondly, the TE scattering from a one-dimensional random rough surface with a Gaussian roughness spectrum is studied. Specifically, a grazing incident angle at 86° with a surface length of 800 wavelengths is presented. Lastly, backscattering intensities from Gaussian and non-Gaussian rough surfaces are compared. Numerical results are illustrated as a function of rms height and slope
Keywords
S-matrix theory; backscatter; electromagnetic wave scattering; radar cross-sections; remote sensing by radar; EM wave; Gaussian roughness spectrum; Monte Carlo method; S-matrix theory; TE incident wave; backscattering intensities; grazing incident angle; large scale random rough surface; one-dimensional random rough surface; perfectly conducting random rough surface; radar remote sensing; radar scattering theory; sparse-matrix flat-surface iterative approach; vector electromagnetic scattering; Backscatter; Electromagnetic scattering; Equations; Iterative methods; Large-scale systems; Monte Carlo methods; Rough surfaces; Surface roughness; Surface waves; Tellurium;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location
Pasadena, CA
Print_ISBN
0-7803-1497-2
Type
conf
DOI
10.1109/IGARSS.1994.399100
Filename
399100
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