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In 5, we have applied fast computation methods to twodimensional scattering with one-dimensional random rough surface In this chapter, we extend the algorithms to three-dimensional problems with twodimensional random rough surfaces Study of three-dimensional scattering problem is an active research area For applications, three-dimensional simulations represent the physical reality and can be used for comparison with real-life data With the advent of modern computers, new results of largescale simulations are reported continually We emphasize that the numerical results presented in this chapter are limited to cases when they were first reported in the literature using computer resources available at that time In Section 1, we apply the sparse-matrix flat-surface iterative approach (SMFSIA) to solve the problem of scalar wave scattering from a 2-D random rough surface and extend the method to study electromagnetic wave scattering by a two-dimensional perfect electric conductor.

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Numerical results are illustrated for incident angles of 10 and 20 and with areas between 256>2 to 1024>2 and up to 1000 surface realizations The cases of rms heights of 05>' and 1> are considered Backscattering enhancement is exhibited for both co-polarized and cross-polarized components Comparisons are made with controlled laboratory millimeter wave experimental data at 20 incident angle The advantages of millimeter wave scattering experiments are that the calibration allows the comparison of scattered power to incident power [Kuga and Phu, 1996] Thus, the absolute value of the bistatic scattering coefficient as normalized by the incident power is measured Thus, we are able to compare the absolute values of the bistatic scattering coefficient between Monte Carlo simulations and experiments The comparison is without adjustable parameters It is shown that the co-polarized bistatic coefficient is in good agreement and the cross-polarized bistatic coefficient is in excellent agreement.

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Agreement is in terms of both absolute magnitude and angular dependence In Section 2, we discuss integral equations for dielectric surfaces In Section 3, electromagnetic wave scattering by 2-D dielectric surfaces are studied In Section 4, we consider bistatic electromagnetic wave scattering from a two-dimensional lossy dielectric random rough surfaces (3-D scattering problem) with large permittivity For media with large permittivities, the fields can have large spatial variations on the surface Thus a dense discretization of the surface is required to implement the method of moments (MoM) for the surface integral equations Such a dense discretization is also required to ensure that the emissivity can be calculated accurately for passive remote sensing applications We used the physics-based two-grid (PBTG) method that can give the accurate results of.

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the surface fields on the dense grid and also the emissivities. The numerical results are calculated by using the PBTG in conjunction with the sparsematrix canonical grid method (SMCG). The numerical results are compared with that of the second order small perturbation method (SPM) which is described in 1 of Volume III. The comparisons show that a large difference in brightness temperature exists between the SPM and numerical simulation results for cases with moderate rms slope. We also model real-life applications in microwave emission froom soils. The results are calculated at two frequencies, viz., L- and C-bands, using the same physical roughness parameters for a variety of soil moisture conditions. This has important application because in practice, the same soil can be measured at different frequencies, different incident angles, and using both active and passive sensors. The physical roughness parameters of the medium are independent of these sensor characteristics and should be used to characterize soils. In the last section, we describe the implementation of the SMCG/PBTG method in a low cost parallel Beowulf system that was completed at the City University of Hong Kong [Li et al. 1999, 2000b].

In this section, we give results of scattering of scalar waves by 2-D nonpenetrable surfaces (3-D scattering problem). The computation is based on a numerical method called the sparse-matrix flat-surface iterative approach. The approach decomposes the matrix of the integral equation as a sum of a sparse matrix, a flat-surface block Toeplitz matrix, and a weak remainder that is followed by an iterative solution until convergence is achieved.

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