Modeling and estimation for a class of multiresolution random fields

Author

Milanfar, Peyman ; Tenney, Robert R. ; Washburn, Robert B. ; Willsky, Alan S.

Author_Institution

SRI Int., Menlo Park, CA, USA

Volume

3

fYear

1994

fDate

13-16 Nov 1994

Firstpage

397

Abstract

Discusses a class of multiresolution models of random fields based on a generalization of the midpoint deflection construction of the 1D Brownian motion. The authors then present least squares (LS) algorithms for the estimation of parameters which define these models and hence provide a framework for synthesizing and analyzing images with fractal-like properties such as those found in statistical representation of natural terrain and other geophysical phenomena. The authors also briefly discuss possible applications of this modeling framework to target detection in images

Keywords

Brownian motion; feature extraction; fractals; image representation; image resolution; least squares approximations; parameter estimation; random processes; remote sensing; signal synthesis; 1D Brownian motion; fractal-like properties; geophysical phenomena; image analysis; image synthesis; least squares algorithms; midpoint deflection construction; multiresolution random fields; natural terrain; statistical representation; target detection; Fractals; Image analysis; Interpolation; Least squares approximation; Nonlinear equations; Object detection; Parameter estimation; Recursive estimation; System identification; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413819

Filename

413819