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正则化方法在比值类位场边缘识别方法中的研究
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  • 英文篇名:The research of the regularization method in the ratio methods of edge recognition by potential field
  • 作者:何涛 ; 王万银 ; 黄金明 ; 张明华 ; 杨敏
  • 英文作者:HE Tao;WANG Wan-Yin;HUANG Jin-Ming;ZHANG Ming-Hua;YANG Min;Gravity & Magnetic Institute of Chang'an University;College of Geology Engineering and Geomatics,Chang'an University;Key Laboratory of Western China's Mineral Resources and Geological Engineering,Ministry of Education,Chang'an University;China Geological Survey Development Research Center;Department of Earth Sciences,Memorial University of Newfoundland;
  • 关键词:边缘识别 ; 比值类方法 ; 正则化方法 ; 稳定性 ; 精度
  • 英文关键词:edge recognition;;ratio methods;;regularization method;;stability;;accuracy
  • 中文刊名:WTYH
  • 英文刊名:Geophysical and Geochemical Exploration
  • 机构:长安大学重磁方法技术研究所;长安大学地质工程与测绘学院;长安大学西部矿产资源与地质工程教育部重点实验室;中国地质调查局发展研究中心;纽芬兰纪念大学地球科学系;
  • 出版日期:2019-04-15
  • 出版单位:物探与化探
  • 年:2019
  • 期:v.43
  • 基金:国家重点研发计划项目(2017YFC0602200)之课题“航空地球物理综合处理解释方法研究及软件开发”(2017YFC0602202);; 中国地质调查局发展研究中心“智能地质调查系统开发与推广”项目(121201004000150014)
  • 语种:中文;
  • 页:WTYH201902010
  • 页数:12
  • CN:02
  • ISSN:11-1906/P
  • 分类号:89-100
摘要
位场边缘识别方法有很多种,其中归一化标准差法(NSTD)、倾斜角法(Ta)和Theta Map(cosθ)等方法属于比值类方法。比值类方法在计算过程中会出现分母接近于0或者等于0这种情况,致使计算结果不稳定,并产生错误的边缘识别结果。为此,对比值类边缘识别方法计算公式中的分母加一个大于零的正则化因子,不但解决了比值类方法的数值计算稳定性问题,而且提高了部分比值类边缘识别方法识别结果的精度。通过理论模型和实际资料检验了新方法的稳定性、精度以及有效性。正则化因子的引入同样可以改善以比值类方法为基础构建的二阶导数类边缘识别方法的识别效果,如倾斜角总水平导数(Ta-THDR)的识别效果。正则化这一思想不但可以解决比值类位场边缘识别方法的数值计算问题,而且可以解决比值类方法的数值计算问题。
        The ratio methods are one sort of edge recognition methods by using potential field,which contains the Normalized Standard Deviation method( NSTD),Tilt Angle method( Ta) and Theta Map( cosθ). If the denominator of ratio method closes or even equals to zero in the process of calculation,the result obtaining from ratio methods is unstable and may even bear little resemblance to the true geology. In order to relief this problem,a regularization factor,which is greater than zero,is added in the denominator of the ratio methods' formula,which not only enhances the numerical stability of the ratio methods but also improves the accuracy of some ratio edge recognition methods. The stability,accuracy and effectiveness of the new method is verified by testing synthetic models and calculating real data. Also,the introduction of the regularization factor also can improve the effect of recognizing edge by the second-derivative edge recognition methods,which is based on the ratio methods,such as the Total Horizontal Derivative of the Tilt Angle( TaTHDR). The idea of regularization can not only solve the numerical calculation problem of the ratio methods of edge recognition for potential field,but also solve the numerical calculation problem of all ratio methods.
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