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作 者:李金朋 范红波 刘利 张英堂 李志宁 武炳阳 LI Jinpeng;FAN Hongbo;LIU Li;ZHANG Yingtang;LI Zhining;WU Bingyang(Unit 93114 of PLA,Beijing 100195,China;Army Engineering University(Shijiazhuang),Shijiazhuang,Hebei 050003,China;Beijing Institute of Remote Sensoring Information,Beijing 100192,China)
机构地区:[1]93114部队,北京100195 [2]陆军工程大学石家庄校区,河北石家庄050003 [3]北京市遥感信息研究所,北京100192
出 处:《石油地球物理勘探》2021年第2期407-418,I0014,共13页Oil Geophysical Prospecting
基 金:水下信息与控制国防科技重点实验室基金项目“基于磁阵列梯度张量的目标定位算法研究”(6142407190307)资助。
摘 要:传统的磁性目标形态反演中,反演模型的初始磁性参数和几何参数需根据经验赋值,针对这一问题,提出了基于多参数约束的磁性目标体三维形态反演方法。首先,通过L1范数和正则化约束函数建立目标函数,在待增长模块中选择最优解更新反演模型;然后,利用磁性目标多参数估计方法,无需先验信息,直接对磁性目标的位置、磁化方向以及磁化强度进行估计;最后,利用z方向磁场分量(Bz)和磁张量联合反演,得到磁性体的空间分布。仿真数据和实验数据计算结果表明,在无需先验信息的情况下,该方法能够对磁性目标的磁性参数和几何参数进行有效估计,反演得到准确的磁性体三维形态;在剩余磁化条件下,与传统的归一化磁源强度和磁总场模量反演结果相比,此方法能够有效提高磁性体三维形态反演的精度。Traditionally,the magnetic and geometric parameters for shape inversion of magnetic bodies are defined manually.We propose a three-dimensional shape inversion method of magnetic bodies based on multi-parameter constraints.First,an objective function is established through L1 norm and regularization constraint function,and the optimal solution is selected in the module to be updated to update the inversion model;then the method for estimating the multiple parameters of the magnetic target is proposed,which can directly estimate the position,magnetization direction and magnetization intensity of the magnetic target without prior information;and finally,the magnetic component(Bz)along zand magnetic gradient tensor are used for joint inversion,and the inversion result is compared with normalized source strength and total magnitude.The simulation and experimental results show that,even without prior information,the method we proposed can effectively estimate the magnetic parameters of the magnetic target and accurately obtain the inversion results of the magnetic target.At the same time,under the condition of remanent magnetization,compared with the traditional normalized source strength and total magnitude,this method can effectively improve the accuracy of three-dimensional inversion of magnetic bodies.
分 类 号:P631[天文地球—地质矿产勘探]
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