Journal of Jilin University(Earth Science Edition) ›› 2019, Vol. 49 ›› Issue (3): 845-856.doi: 10.13278/j.cnki.jjuese.20180202

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Edge Enhancement Method Based on Mathematical Morphology for Potential Field Data

Zhang Jianmin1, Hu Yingsa2, Zeng Zhaofa1, Du Wei1, Zhang Ling1, Huai Nan1, Hu Zhipeng1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Zhengzhou Branch, China Nuclear Power Engineering Co., Ltd., Zhengzhou 450012, China
  • Received:2018-07-23 Online:2019-06-03 Published:2019-06-03
  • Supported by:
    Supported by National Key Research and Development Program of China (2016YFC0600505)

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Abstract: The edge enhancement of potential field data is of great significance for geological structure research and mineral exploration. Most of the existing edge enhancement methods are formed based on the derivatives of potential field data, however, these methods show a poor anti-noise ability,and often result in some false edges. Using the good performance of mathematical morphology on shape analysis and noise suppression, a new edge enhancement method for potential field data is proposed. The method is easy to carry out, and does not need to calculate the horizontal and vertical derivatives of the potential field data. The test results of plate model show that this method can effectively enhance the edges of gravity data and magnetic data after polarization. Compared with several traditional methods, this one can produce clearer edges without additional edges, and has stronger anti-noise ability. Finally, this method and several traditional methods are applied to the actual gravity anomaly data in Vientiane,Laos, and the results show that the edges depicted by this method are more continuous and clearer. At the same time, the favorable metallogenic location is inferred combined with the previous geological data.

Key words: potential field data, edge enhancement, mathematical morphology

CLC Number: 

  • P631
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