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Proceedings Paper

Application of full wave analyses to electromagnetic scattering by multiple-scale anisotropic models of rough surfaces for industrial and climatic remote sensing
Author(s): Ezekiel Bahar
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Paper Abstract

For industrial and weather forecasting purposes it is often necessary to employ electromagnetic waves (optical to microwave wavelengths) to remotely sense manmade or naturally generated rough surfaces. These surfaces are generally anisotropic and contain multiple scales of roughness. For example sheet metal used in industrial applications are usually sandblasted before painting, while rough sea surfaces with swell are generated by fully developed local winds as well as high intensity winds from more remote sources. Several hybrid analytical techniques based on small perturbation and physical/geometrical optics approaches have been used to determine the scatter cross sections for these multiple scale anisotropic models of rough surfaces. However, these hybrid solutions critically depend on the choices of the spatial wave numbers where spectral splitting is assumed between the different scales of rough surfaces. Fully polarimetric unified full wave solutions have been derived for the scattered fields from these multiple scale anisotropic models of rough surfaces. The rough surfaces are regarded as large (compared to correlation length) patches of rough surfaces with arbitrary orientations and the scattering cross sections are shown to be stationary over a wide range of patch (pixel) sizes. Unlike the perturbation solution the full wave solutions are invariant to coordinate transformations (translations and rotations) and are not restricted to surfaces with small mean square heights (compared to wavelength).

Paper Details

Date Published: 3 July 1998
PDF: 10 pages
Proc. SPIE 3382, Advances in Laser Remote Sensing for Terrestrial and Hydrographic Applications, (3 July 1998); doi: 10.1117/12.312627
Show Author Affiliations
Ezekiel Bahar, Univ. of Nebraska/Lincoln (United States)

Published in SPIE Proceedings Vol. 3382:
Advances in Laser Remote Sensing for Terrestrial and Hydrographic Applications
Ram Mohan Narayanan; James E. Kalshoven Jr., Editor(s)

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