张琦1,,,
张冲2
1. 吉林大学地球探测科学与技术学院, 长春 130021
2. 中国地质科学院, 地球深部探测中心, 北京 100037
基金项目: 国家高技术研究发展计划（2014AA06A613），国家重点研发计划（2017YFC0602203，2017YFC0601606），吉林省自然科学基金项目（20180101312JC）联合资助
详细信息
作者简介: 于平, 女, 1978年生, 教授, 主要从事移动平台地球物理数据处理与解释及软件技术研究.E-mail:yuping@jlu.edu.cn
通讯作者: 张琦, 男, 1992年生, 硕士研究生, 主要研究方向为固体地球物理学.E-mail:zhangqi0524@qq.com
中图分类号: P631收稿日期:2018-08-03
修回日期:2019-09-03
上线日期:2019-10-05
A new method of balanced edge detection for the gravity potential-field based on horizontal analytical signal
YU Ping1,,ZHANG Qi1,,,
ZHANG Chong2
1. College of Geoexploration Science and Technology, Jilin University, Changchun 130021, China
2. China Deep Exploration Center(SinoProbe Center), Chinese Academy of Geological Sciences, Beijing 100037, China
More Information
Corresponding author: ZHANG Qi,E-mail:zhangqi0524@qq.com
MSC: P631--> Received Date: 03 August 2018
Revised Date: 03 September 2019
Available Online: 05 October 2019
摘要
摘要:边界识别技术是位场数据解释中一项基本的工作，现有的边界识别方法多存在边界识别结果发散和不能均衡深浅地质体异常的缺点.目前一些均衡边界识别方法会因正负异常同时存在而引起额外的错误边界或者存在人为主观因素去除错误边界信息的缺点.本文充分利用重力位场张量梯度的多信息成分，提出利用水平方向解析信号及其垂向导数与传统的均衡边界识别方法做结合的方式定义新的探测边界的方法.通过理论模型试验证明新方法同传统方法相比，能够更加清晰、准确的圈定出深浅地质体的边界.最后将新的边界识别方法应用到实测重力异常数据解释中，取得了良好的边界识别结果并能够发现更多的构造细节.
关键词: 重力位场/
边界识别/
方向解析信号
Abstract:Edge enhancement and detection techniques are fundamental operations in interpretation of potential field data. The existing methods have the disadvantages that the recognized edges are divergent and cannot balance the amplitudes of the edges of shallow and deep geological bodies simultaneously. Some balanced edge detection methods produce additional false edges among positive and negative anomalies, some of which have certain subjectivity in eliminating additional false edges. In order to fully use multiple component information of gravity gradient tensor data, this paper proposes new edge detection methods using the combination of horizontal analytical signal and its vertical derivative and some traditional balanced edge detection methods. Tests on synthetic potential field data show that new approaches can outline the source edges more clearly and accurately compared with traditional detectors. At last, we apply the new methods to the interpreetation of measured gravity data. The results show that they can help detect edges of geological bodies in the subsurface and obtain more subtle information.
Key words:Gravity potential field/
Edge detection/
Directional analytical signal
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