首页> 外国专利> Chaotic structures detecting in specific environment from seismic data by assigning multidirectional error to image point on which window is centered and calculating multidirectional errors to all image points of image block

Chaotic structures detecting in specific environment from seismic data by assigning multidirectional error to image point on which window is centered and calculating multidirectional errors to all image points of image block

机译:通过将多向误差分配给以窗口为中心的图像点并计算图像块的所有图像点的多向误差,从地震数据中检测特定环境中的混沌结构

摘要

Method of detecting chaotic structures in a given medium.It is of the type consisting in:calculating the components of the light intensity gradient vector E at every point of a window F, centered on a point of a block representative of the medium, and it is characterized in that it furthermore consists in summing elementary matrices M for all the points of the window F, diagonalizing said sum matrix A so as to determine its eigenvalues lambd1, lambd2, lambd3, quantifying, at the center of the window, the minimum of the said eigenvalues lambd1, lambd2, lambd3, and with the constraint UTxD=1, eliminating the contribution of the largest eigenvalue, defining a multidirectional error by integrating it in the plane defined by the eigenvectors corresponding to the remaining eigenvalues, assigning the multidirectional error to the image point on which the window F is centered, and calculating the multidirectional errors assigned to all the image points of the image block.
机译:在给定介质中检测混沌结构的方法,其类型包括:计算以窗口F的每个点为中心,以代表该介质的块的点为中心的光强度梯度向量E的分量,并且其特征在于,它还包括对窗F的所有点求和矩阵M,对角化所述求和矩阵A以确定其特征值lambd1,lambd2,lambd3,在窗的中心量化最小值。所述特征值lambd1,lambd2,lambd3,并且在约束U xD = 1的情况下,消除了最大特征值的影响,通过将其积分到与其余特征值相对应的特征向量定义的平面中来定义多方向误差,对窗口F居中的图像点进行多向误差计算,并计算分配给图像块所有图像点的多向误差。

著录项

  • 公开/公告号NO329084B1

    专利类型

  • 公开/公告日2010-08-16

    原文格式PDF

  • 申请/专利权人 ELF EXPLORATION PRODUCTION;

    申请/专利号NO20000001881

  • 发明设计人 PAUGET FABIEN;KESKES NAAMEN;

    申请日2000-04-12

  • 分类号G01V1/28;G06T7/20;

  • 国家 NO

  • 入库时间 2022-08-21 18:45:27

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