An Algorithm for Rough Surface Generation with Inhomogeneous Parameters

Abstract

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.