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方向总水平导数法的改进和边界识别中的应用
引用本文:侯振隆,王恩德,唐水亮,袁园.方向总水平导数法的改进和边界识别中的应用[J].东北大学学报(自然科学版),2019,40(1):104-108.
作者姓名:侯振隆  王恩德  唐水亮  袁园
作者单位:东北大学 资源与土木工程学院, 辽宁 沈阳 110819;东北大学 深部金属矿山安全开采教育部重点实验室,辽宁 沈阳 110819;吉林大学 地球探测科学与技术学院,吉林 长春,130026;国家海洋局 第二海洋研究所,浙江 杭州,310012
基金项目:中国博士后科学基金资助项目(2017M621151); 中央高校基本科研业务费专项资金资助项目(N160103003); 东北大学博士后基金资助项目(20180313).
摘    要:为了提高重力勘探中边界识别方法的分辨率,增强对地质体边界的划分和检测能力,本文在方向总水平导数法的基础上进行了改进.提出了基于重力梯度数据的方向总水平导数与加强方向总水平导数的垂向导数、综合x,y和z方向的方向总水平导数及其垂直导数等6种新型边界探测器.通过理论模型与噪声试验,证明了改进的方法具有较好的边界划分能力;与原方法相比,改进后的方法识别出的边界与模型更好地吻合.将文顿盐丘地区的实测数据引入改进后的方法中,更清晰地识别出地下盖岩的边界,验证了方法的可行性.

关 键 词:重力梯度数据  方向总水平导数  垂向导数  边界识别  文顿盐丘
收稿时间:2017-10-30
修稿时间:2017-10-30

Improvements of the Directional Total Horizontal Derivatives and Their Application in Edge Detection
HOU Zhen-long,WANG En-de,TANG Shui-liang,YUAN Yuan.Improvements of the Directional Total Horizontal Derivatives and Their Application in Edge Detection[J].Journal of Northeastern University(Natural Science),2019,40(1):104-108.
Authors:HOU Zhen-long  WANG En-de  TANG Shui-liang  YUAN Yuan
Institution:1. School of Resources & Civil Engineering, Northeastern University, Shenyang 110819, China; 2. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China; 3. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China; 4. Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China.
Abstract:An improvement was made on the basis of directional total horizontal derivative to increase the edge detection resolution in the gravity exploration and enhance the ability of dividing and detecting geological body boundary. Six new kinds of edge detectors were presented, including the vertical derivative of directional total horizontal derivative and enhanced directional total horizontal derivative, directional total horizontal derivative and its vertical derivative integrated in x, y and z direction, which are based on gravity gradiometry data. Through the theoretical model and noise test, it is proved that the improved methods have the good ability for boundary division. Compared with the ordinary ones, the detected edges agree well with that from the model. The real data from Vinton Dome are introduced into the proposed methods and the edges of underground cap rock are recognized more clearly, and the feasibility of the proposed methods is verified.
Keywords:gravity gradiometry data  directional total horizontal derivatives  vertical derivative  edge detection  Vinton Dome  
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