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Geophysical data texture segmentation using double-windowed clustering analysis
Geophysical data texture segmentation using double-windowed clustering analysis
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机译:使用双窗聚类分析的地球物理数据纹理分割
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摘要
An automated method for texture segmentation (11) of geophysical data volumes, where texture is defined by double-window statistics of data values, the statistics being generated by a smaller pattern window moving around within a larger sampling window (12). A measure of “distance” between two locations is selected based on similarity between the double-window statistics from sampling windows centered at the two locations (13). Clustering of locations is then based on distance proximity (14).
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