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《Scientific and Technological Management of Land and Resources》 2012-06
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Reducing Dimension and Optimization of Seismic Attribute Based on Developed SLLE

HU Dan1,XUE Yuan2,3(1.College of Tourism and Urban-Rural Planning,Chengdu University of Technology,Chengdu 610059,China;2.Geomathematics Key Laboratory of Sichuan Province,Chengdu 610059,China;3.State Key Laboratory of Geological Hazard Prevention and Geological Environment Protection,Chengdu University of Technology,Chengdu 610059,China)  
In order to overcome the defects of the seismic attribute which is extracted directly from seismic data,such as high dimension,enormous data,redundant information,high nonlinearity and sample data's lack of priori knowledge classification,the fuzzy cluster method based on equivalence relation is used to supervise local linear embedding.The cases of study indicate that the result of nonlinear reducing dimension and optimization of seismic attribute based on the developed SLLE is better than that of the other conventional linear reduce dimension methods.The algorithm can provide good and reliable data for seismic data interpretation,reservoir prediction and material parameters inversion.
【CateGory Index】: P631.4
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