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Extraction of vegetation water content and soil moisture from microwave observations requires development of a high fidelity scattering model. A number of factors associated with the vegetation canopy and with the underlying bare soil should be taken into account. In this paper, we propose an electromagnetic scattering model for a corn canopy which includes the coherent effect due to the corn structure...
A new algorithm for analysing electromagnetic (EM) scattering from randomly rough surfaces is presented. This algorithm combines the stochastic second-degree iterative method with the sparse matrix algorithm to achieve high computational efficiency, and further uses the Chebyshev approximation to replace the Taylor expansion for the weak interaction between two points beyond mutual neighbourhoods...
Application of a stochastic second-degree method in combination with the banded matrix canonical grid (BMIA/CAG) method for two- dimensional electromagnetic scattering from PEC randomly rough surfaces is presented. This method can improve convergence while preserving the computational attractiveness of the BMIA/CAG method. Numerical examples illustrate the effectiveness of the proposed method.
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