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首页> 外文期刊>Journal of Seismic Exploration >SEISMIC MULTI-ATTRIBUTE FUSION USING FAST INDEPENDENT COMPONENT ANALYSIS AND ITS APPLICATION
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SEISMIC MULTI-ATTRIBUTE FUSION USING FAST INDEPENDENT COMPONENT ANALYSIS AND ITS APPLICATION

机译:快速独立分量分析的地震多属性融合及其应用

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摘要

Basic principles of independent component analysis (ICA) and fast independent component analysis (FastICA) algorithm are elaborated, and we propose an automatic fusion method of seismic multi-attribute based on FastICA. This method can calculate the transform kernel matrix rapidly using FastICA algorithm to achieve the feature fusion of several seismic attributes in the ICA domain. After that we map the synthesized attribute to the spatial domain to obtain the fusion result. Our method can remove the correlation hidden in high-order statistical characteristics between features. Finally, the application of 3D seismic data in northeastern Sichuan shows the effectiveness and rationality of the proposed method.
机译:阐述了独立分量分析(ICA)和快速独立分量分析(FastICA)算法的基本原理,并提出了一种基于FastICA的地震多属性自动融合方法。该方法可以使用FastICA算法快速计算变换核矩阵,以实现ICA域中多个地震属性的特征融合。之后,我们将合成的属性映射到空间域以获得融合结果。我们的方法可以消除隐藏在特征之间的高阶统计特征中的相关性。最后,将3D地震数据应用于川东北地区表明了该方法的有效性和合理性。

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