A Study Of Scattering Of Scatterers Using Equivalence Principle Algorithm


For theoretical models used in microwave remote sensing of earth terrain, it is quite common to represent the medium as a random discrete medium where the medium can be modeled as a layer of scatterers of basic shapes embedded in the host medium and bounded by upper and lower rough surfaces. By solving the wave propagation and the scattering in the medium through Radiative Transfer (RT) theory, the scattering returns from the medium can be obtained. Traditionally, analytical expression of scattering from these scatterers of basic shapes is derived and computed with simplification based on basic assumptions. However, it is generally found from ground truth measurement that the actual shapes of those scatterers are much more complex and irregular. Although it is difficult to simulate the scattering from this wide range of scatterers of different sizes, orientation and shapes, it is possible to model the medium better by representing the scatterers with major types of scatterers of particular shapes, though the shapes may not be of basic geometrical shapes like spheres. In this study, it is proposed to use the Equivalence Principle Algorithm (EPA) method under the approach of computational electromagnetics to perform the calculation of scattering from these scatterers and incorporate this for the simulation of radar scattering returns from Radiative Transfer (RT) formulation. With this approach, the theoretical model developed can be extended to cover scattering from scatterers which are not easily represented by basic geometrical shapes. Comparison results of the simulation based on Mie scattering and EPA are presented. The model prediction is also compared with satellite SAR data with physical parameters input from ground truth measurement conducted in Antarctica.


Electrical and Computer Engineering

International Standard Book Number (ISBN)


International Standard Serial Number (ISSN)

1931-7360; 1559-9450

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Article - Conference proceedings

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Publication Date

01 Jan 2015

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