Filter-Based Classification of Training Image Patterns for Spatial Simulation
Authors: Zhang, Tuanfeng; Switzer, Paul; Journel, Andre
Source: Mathematical Geology, Volume 38, Number 1, January 2006 , pp. 63-80(18)
Abstract:Multiple-point simulation, as opposed to simulation one point at a time, operates at the pattern level using a priori structural information. To reduce the dimensionality of the space of patterns we propose a multi-point filtersim algorithm that classifies structural patterns using selected filter statistics. The pattern filter statistics are specific linear combinations of pattern pixel values that represent directional mean, gradient, and curvature properties. Simulation proceeds by sampling from pattern classes selected by conditioning data.
Document Type: Research Article
Affiliations: Email: email@example.com
Publication date: January 1, 2006