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
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;
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
DOI :
10.1109/IGARSS.1994.399100