The removal of additional edges in the edge detection of potential field data

被引:18
作者
Ma, Guoqing [1 ]
Liu, Cai [1 ]
Huang, Danian [1 ]
机构
[1] Jilin Univ, Coll Geoexplorat Sci & Technol, Changchun 130021, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Edge detection; Additional; Potential field; Derivative;
D O I
10.1016/j.jappgeo.2015.01.007
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Edge detection results of potential field data are used to delineate the horizontal locations of the causative sources, and there are many edge detection filters to finish this work. However, most of balanced edge detection filters produce additional edges which interpret the potential field data that contain positive and negative anomalies. First, we test the application effect of several common balanced edge detection filters, and then analyze the reason that produces additional edges. We present several new edge detection filters depending on the distribution features of different derivatives that will not produce additional edges. The new filters are demonstrated on synthetic gravity anomalies, which show the edges more precisely, and are insensitive to noise. We also apply them to real potential field data because they display the locations of the stratigraphic markers more precisely and clearly. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:168 / 173
页数:6
相关论文
共 50 条
  • [21] Using Normalized Enhanced Analytic Signal to Detect the Edge of Potential Field Data
    Yuan, Yuan
    Yu, Qinglu
    NEAR-SURFACE GEOPHYSICS AND GEOHAZARDS, 2014, : 658 - 662
  • [22] Application of the improved filter based on the Theta method to edge detection of potential field data: an example from the Luzong ore district
    Chen An-Guo
    Zhou Tao-Fa
    Liu Dong-Jia
    Zhang Shu
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2017, 60 (02): : 778 - 792
  • [23] Using the Varimax Norm method to enhance and identify edges of potential field data
    Yan, Jiayong
    Wang, Zhihui
    Luo, Fan
    Zhang, Chong
    Zhang, Yongqian
    Wang, Xu
    GEOFIZIKA, 2022, 39 (01) : 179 - 196
  • [24] The Application of Theta Method to Potential Field Gradient Tensor Data for Edge Detection of Complex Geological Structures
    Zareie, Vahid
    Moghadam, Rasoul Hamidzadeh
    PURE AND APPLIED GEOPHYSICS, 2019, 176 (11) : 4983 - 5001
  • [25] The Application of Theta Method to Potential Field Gradient Tensor Data for Edge Detection of Complex Geological Structures
    Vahid Zareie
    Rasoul Hamidzadeh Moghadam
    Pure and Applied Geophysics, 2019, 176 : 4983 - 5001
  • [26] Edge detection of potential field sources using the softsign function
    Luan Thanh Pham
    Oksum, Erdinc
    Dung Van Le
    Ferreira, Francisco J. F.
    Sang Thi Le
    GEOCARTO INTERNATIONAL, 2022, 37 (14) : 4255 - 4268
  • [27] Edge detection for multispectral images based on data field model
    Sun, Genyun
    Zhang, Aizhu
    Wang, Zhenjie
    Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2013, 43 (SUPPL.I): : 77 - 80
  • [28] Normalized facet edge detection and enhancement in potential field sources with the scale-space technique
    Hu ShuangGui
    Tang JingTian
    Ren ZhengYong
    Zhou Cong
    Xiao Xiao
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2019, 62 (01): : 331 - 342
  • [29] Edge Detection in Potential-Field Gradient Tensor Data by Use of Improved Horizontal Analytical Signal Methods
    Yuan, Yuan
    Yu, Qinglu
    PURE AND APPLIED GEOPHYSICS, 2015, 172 (02) : 461 - 472
  • [30] Comment on: I. Sertcelik and O. Kafadar, "Application of edge detection to potential field data using eigenvalue analysis of structure tensor"
    Ma, Guoqing
    Yu, Ping
    JOURNAL OF APPLIED GEOPHYSICS, 2014, 101 : 142 - 143