An Algorithm for Rough Surface Generation with Inhomogeneous Parameters

This paper is concerned with an algorithm for generating the inhomogeneous random rough surface (RRS) that can simulate the physical environments such as desert, vegetable field, sea surface and others, better than the homogeneous RRS. First, we discuss the statistics for two-dimensional (2D) RRSs w...

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Bibliographic Details
Main Authors: Kazunori Uchida, Junichi Honda, Kwang-Yeol Yoon
Format: Article
Language:English
Published: SAGE Publishing 2011-06-01
Series:Journal of Algorithms & Computational Technology
Online Access:https://doi.org/10.1260/1748-3018.5.2.259
Description
Summary:This paper is concerned with an algorithm for generating the inhomogeneous random rough surface (RRS) that can simulate the physical environments such as desert, vegetable field, sea surface and others, better than the homogeneous RRS. First, we discuss the statistics for two-dimensional (2D) RRSs with arbitrary types of spectra. Second, we review the essence of the convolution method which is flexible and effective for generation of various kinds of RRSs. Finally, we propose an algorithm for inhomogeneous RRS generation by modifying the convolution method. Numerical examples are also given for some inhomogeneous RRSs.
ISSN:1748-3018
1748-3026