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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 11, Iss. 2 — Feb. 1, 1994
  • pp: 711–715

Backscattering enhancement of a two-dimensional random rough surface (three-dimensional scattering) based on Monte Carlo simulations

Leung Tsang, Chi H. Chan, and Kyung Pak  »View Author Affiliations


JOSA A, Vol. 11, Issue 2, pp. 711-715 (1994)
http://dx.doi.org/10.1364/JOSAA.11.000711


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Abstract

The exact solution of scattering by a two-dimensional random rough surface (three-dimensional scattering problem) of an area of 80 square wavelengths with 4096 surface unknowns is computed, and the results show backscattering enhancement. The computation is based on a new 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.

© 1994 Optical Society of America

History
Original Manuscript: February 8, 1993
Revised Manuscript: August 16, 1993
Manuscript Accepted: September 2, 1993
Published: February 1, 1994

Citation
Leung Tsang, Chi H. Chan, and Kyung Pak, "Backscattering enhancement of a two-dimensional random rough surface (three-dimensional scattering) based on Monte Carlo simulations," J. Opt. Soc. Am. A 11, 711-715 (1994)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-11-2-711

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