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METHOD AND APPARATUS FOR EXTRACTING SELECTED FEATURE INFORMATION AND CLASSIFYING HETEROGENEOUS REGIONS OF N-DIMENSIONAL SPATIAL DATA
METHOD AND APPARATUS FOR EXTRACTING SELECTED FEATURE INFORMATION AND CLASSIFYING HETEROGENEOUS REGIONS OF N-DIMENSIONAL SPATIAL DATA
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机译:提取选定特征信息并分类N维空间数据异质区域的方法和装置
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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 (for example, by examining the change in polarity of the impedance of seismic data). Then on each region, a set of features (which may be mathematical functions) is calculated (e.g., mean value of all data in the region), wherein the features are considered sufficiently descriptive of the region. Thereupon, two or more regions which are topographically contiguous are grouped together and the associated features are assembled in a structure (e.g., a vector or a matrix) to be input to a classifier.
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