METHOD AND APPARATUS FOR EXTRACTING SELECTED FEATURE INFORMATION AND CLASSIFYING HETEROGENEOUS REGIONS OF N-DIMENSIONAL SPATIAL DATA

摘要

Given a spatial dataset of n dimensions, a data-driven partitioning of the dataset is effected into topographically contiguous regions using feature specific indices (14), by examining the change in polarity of the impedance of seismic data (12). Then on each region, a set of features is calculated (21), wherein the features are considered sufficiently descriptive of the region (25). Thereupon, two or more regions which are topographically contiguous are grouped together and the associated features are assembled in a structure (24), to be input to a classifier (26).