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基于数学形态学的位场数据边缘增强方法
引用本文:张建民,胡英飒,曾昭发,杜威,张领,槐楠,胡志鹏.基于数学形态学的位场数据边缘增强方法[J].吉林大学学报(地球科学版),2019,49(3):845-856.
作者姓名:张建民  胡英飒  曾昭发  杜威  张领  槐楠  胡志鹏
作者单位:1. 吉林大学地球探测科学与技术学院, 长春 130026;2. 中国核电工程有限公司郑州分公司, 郑州 450012
基金项目:国家重点研发计划项目(2016YFC0600505)
摘    要:位场数据边缘增强对于地质构造研究和矿床勘查具有重要意义。现有的边缘增强方法多数基于位场数据的导数构建,往往存在对噪声敏感的缺点,且处理结果中常有虚假边界的出现。本文基于数学形态学良好的形状分析和噪声压制性能,通过数学形态学基本算子的组合叠加,提出了一种新的位场数据边缘增强方法。该方法容易实现,且不需要计算位场数据的水平和垂向导数。板状体模型试验结果表明,该方法能有效地对重力异常和化极后的磁异常数据进行边缘增强。针对三维模型试验中正负异常同时存在的情况,相比以往几种方法,该方法输出的边缘更清晰且没有额外边缘的产生,并表现出更强的抗噪能力。最后将该方法和以往几种方法应用到老挝万象地区实际重力异常数据的处理中,结果显示该方法刻画出的边缘更加连续清晰;同时结合以往地质资料,推断了成矿的有利部位。

关 键 词:位场数据  边缘增强  数学形态学
收稿时间:2018-07-23

Edge Enhancement Method Based on Mathematical Morphology for Potential Field Data
Zhang Jianmin,Hu Yingsa,Zeng Zhaofa,Du Wei,Zhang Ling,Huai Nan,Hu Zhipeng.Edge Enhancement Method Based on Mathematical Morphology for Potential Field Data[J].Journal of Jilin Unviersity:Earth Science Edition,2019,49(3):845-856.
Authors:Zhang Jianmin  Hu Yingsa  Zeng Zhaofa  Du Wei  Zhang Ling  Huai Nan  Hu Zhipeng
Institution:1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;2. Zhengzhou Branch, China Nuclear Power Engineering Co., Ltd., Zhengzhou 450012, China
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.
Keywords:potential field data  edge enhancement  mathematical morphology  
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