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Efficient Segmentation of Geophysical Field Images on Basis of Independent Component Analysis

机译:基于独立分量分析的地球物理场图像有效分割

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In the paper, we consider a new method of geophysical fields image analysis and sensitive segmentation. The method has a high sensitivity in comparison with other well known techniques of geophysical field image analysis and consists of the following main steps: expand the informational features using zero-space imaging method, processing by Independent Component Analysis, data fusion based on Kohonen's self-organizing map.

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