检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王林飞[1] 郭灿灿[2] 薛典军[1] 熊盛青[1]
机构地区:[1]中国国土资源航空物探遥感中心,北京100083 [2]中国地质大学(北京)地球物理与信息技术学院,北京100083
出 处:《地球物理学进展》2016年第3期1164-1172,共9页Progress in Geophysics
基 金:国家高技术研究发展计划"863计划"(2013AA063905);航空物探方法技术与数据处理解释系统研究(1212011087010);海洋地质保障工程综合数据库建设(航遥中心)(GZH201200513)联合资助
摘 要:相对于传统磁异常数据,磁梯度张量数据可以提供有关异常体更多的信息,分辨率更高,具有广阔的应用前景.本文给出了基于磁梯度张量解析信号进行边界增强的新方法,该方法是通过对异常垂向一阶导数与z方向解析信号的比值做归一化得到的,其零值线位置可以很准确的反映出地质体边界位置,而且可以有效降低噪声的干扰.文中还证明了异常垂向一阶导数与x、y、z三个方向解析信号的比值同样满足欧拉齐次方程,且在计算过程中不需考虑构造指数N的影响,避免了因构造指数不当而引起的反演误差.通过对单一地质体及组合地质体模型的实验证明:与常规欧拉反褶积法相比,该反演方法能够更好的得到地质体界面及深度信息,所得的解更集中.将其应用到保定实测数据中,获得了更精确的场源信息.Magnetic gradient tensor data can provide more information about the anomalies with higher resolution in contrast to the traditional gravity anomaly data, having vast application prospect. In this paper, we present a new edge identification method based on the analytic signal of magnetic gradient tensor,which can be derived by normalization of the ratio of first derivative and analytic signal in z directions. This method can reflect the edge of causative bodies exactly and reduce the noise interference effectively. I also demonstrate in this paper that the ratio of first derivative and analytic signal in x,y,z directions are homogeneous and satisfy Euler 's homogeneity equation,thus a linear equation can be acquired. This method allows the estimation of location parameters without any prior information about the nature( structural index) of the source,avoiding inversion errors that conventional Euler deconvolution method have caused by improper choice of structural index N. The presented method is tested on single and synthetic magnetic anomalies,and the inversion results show that the method can provide the location parameters more accurately compared with conventional Euler deconvolution method. And we obtained more accurate information sources by applying it to the real magnetic data in Baoding area.
分 类 号:P631[天文地球—地质矿产勘探]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222