论文信息 - Computational algorithm for reconstructing the profile of 2D rough surfaces

Computational algorithm for reconstructing the profile of 2D rough surfaces

The presented reconstruction algorithm is based on merging the fast multipole method (FMM) for the forward solver with the rapidly convergent descent method for the cost function minimization algorithm (by Fletcher and Powell 1964 and 1970). Parametric results are presented showing the potential of the proposed computational algorithm.

Eric L. Miller | Magda El-Shenawee

[1] Akira Noguchi,et al. Reconstruction of Two Dimensional Rough Surface with Gaussian Beam Illumination (Special Issue on Electromagnetic Theory : Foundations and Applications) , 1996 .

[2] Eric L. Miller,et al. Three-dimensional subsurface analysis of electromagnetic scattering from penetrable/PEC objects buried under rough surfaces: use of the steepest descent fast multipole method , 2001, IEEE Trans. Geosci. Remote. Sens..

[3] Vincenzo Galdi,et al. Multifrequency reconstruction of moderately rough interfaces via quasi-ray Gaussian beams , 2002, IEEE Trans. Geosci. Remote. Sens..

[4] E. Thorsos. The Validity of the Kirchhoff Approximation for Rough Surface Scattering Using a Gaussian Roughness Spectrum , 2004 .

[5] R. Fletcher,et al. A New Approach to Variable Metric Algorithms , 1970, Comput. J..