DocumentCode
314799
Title
Numerical study of shadowing in electromagnetic scattering from rough dielectric surfaces
Author
West, James C. ; Sturm, J. Michael
Author_Institution
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Volume
2
fYear
1997
fDate
3-8 Aug 1997
Firstpage
705
Abstract
A numerical study has been performed to examine the effects of surface self-shadowing on the electromagnetic scatter from rough dielectric interfaces. A hybrid numerical technique combining the moment method and geometrical theory of diffraction was used in the numerical calculations. This technique was first extended to be applicable to general dielectric media as well as perfectly conducting and high loss, high permittivity surfaces. The numerical calculations show that weakly shadowed small-scale roughness can contribute significantly to the backscatter at extreme grazing angles. This effect is more pronounced at VV polarization than at HH polarization when the surface is perfectly conducting, but is approximately the same at both polarizations when a finite-conductivity interface is considered. Scattering models that depend on a shadowing function based on geometrical optics are likely to fail at extreme grazing angles for lossy dielectric as well perfectly conducting scattering surfaces
Keywords
backscatter; electromagnetic wave scattering; geophysical techniques; ocean waves; oceanographic techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; backscatter; geophysical measurement technique; grazing incidence; land surface; ocean wave; radar polarimetry; radar remote sensing; radar scattering; rough surface; sea surface; soil; terrain mapping; Dielectric losses; Electromagnetic scattering; Moment methods; Optical polarization; Optical scattering; Physical theory of diffraction; Rough surfaces; Shadow mapping; Surface roughness; Ultraviolet sources;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN
0-7803-3836-7
Type
conf
DOI
10.1109/IGARSS.1997.615231
Filename
615231
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