Title
Fractal Roughness Retrieval By Integrated Wavelet Transform
Keywords
Autocorrelation; Fractal surface; Integrated wavelet transform; Rough surface; Scaling exponent; Self-affine surface; Self-similar surface
Abstract
An integrated-wavelet-transform (IWT) approach is proposed for the study of scattering from slightly rough surfaces that manifest scaling properties over a finite domain of correlation lengths. Instead of collecting angle-resolved intensities, values of the irradiance integrated over increasing areas are used to enhance the contributions of small irradiances at large scattering angles and to reduce the coherent noise. In the case of self-similar surfaces, the scaling behavior of IWT allows investigation of the surface roughness at various length scales. For the realistic case of self-affine surfaces, IWT permits the evaluation of the scaling exponent of the autocorrelation and also offers a direct way to evaluate the necessary length scale of the surface profile.
Publication Date
1-1-1999
Publication Title
Optical Review
Volume
6
Issue
4
Number of Pages
293-301
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/s10043-999-0293-z
Copyright Status
Unknown
Socpus ID
0033247322 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0033247322
STARS Citation
Dogariu, Aristide; Boreman, Glenn; and Uozumi, Jun, "Fractal Roughness Retrieval By Integrated Wavelet Transform" (1999). Scopus Export 1990s. 3902.
https://stars.library.ucf.edu/scopus1990/3902