Three-dimensional reconstruction method for small scale magnetic target based on shape inversion is studied in this paper. Firstly, the magnetic gradient tensor data is used to estimate the approximate horizontal boundary, vertical boundary and magnetization direction. On this basis, the range of inversion space is selected, the inversion space is gridded, the initial inversion model and the module sets to be increased are given. Then, based on the established module selection function, the optimal growth module is selected in the module sets to be increased, and the inversion model of magnetic target and the module sets to be increased are updated iteratively until the threshold of the iterative objective function is achieved. Finally, the inversion model is the three-dimensional reconstruction results of small scale magnetic target. Simulation result shows that the three-dimensional reconstruction results have high similarity with the real target, and it can be used in the identification applications of magnetic targets.
YIN Gang,ZHANG Lin
. Three-Dimensional Reconstruction Method for Small Scale
Magnetic Target Based on Shape Inversion[J]. Journal of Shanghai Jiaotong University, 2019
, 53(9)
: 1074
-1083
.
DOI: 10.16183/j.cnki.jsjtu.2019.09.009
［1］MERLAT L, NAZ P. Magnetic localization and identification of vehicles［J］. Proceedings of SPIE, 2003, 5090: 174-185.
［2］BERAN L, ZELT B, BILLINGS S. Detecting and classifying UXO［J］. Journal of Conventional Weapons Destruction, 2013, 17(1): 57-63.
［3］徐超群, 易忠, 王斌, 等. 基于磁场梯度张量的航天器内部多磁源探测技术［J］. 航天器环境工程, 2017, 34(4): 398-402.
XU Chaoqun, YI Zhong, WANG Bin, et al. Detection technology of multi-magnetic source in spacecraft based on magnetic field gradient tensor［J］. Spacecraft Environment Engineering, 2017, 34(4): 398-402.
［4］SCHNEIDER M, STOLZ R, LINZEN S, et al. Inversion of geo-magnetic full-tensor gradiometer data［J］. Journal of Applied Geophysics, 2013, 92: 57-67.
［5］JI S X, WANG Y F, ZOU A Q. Regularizing inversion of susceptibility with projection onto convex set using full tensor magnetic gradient data［J］. Inverse Problems in Science and Engineering, 2017, 25(2): 202-217.
［6］张昌达. 航空磁力梯度张量测量——航空磁测技术的最新进展［J］. 工程地球物理学报, 2006, 3(5): 354-361.
ZHANG Changda. Airborne tensor magnetic gra-diometry: The latest progress of airborne magneto-metric technology［J］. Chinese Journal of Engineering Geophysics, 2006, 3(5): 354-361.
［7］尹刚, 张英堂, 米松林, 等. 基于倾斜角和Helbig方法的多磁源目标反演技术［J］. 上海交通大学学报, 2017, 51(5): 577-584.
YIN Gang, ZHANG Yingtang, MI Songlin, et al. Multiple magnetic targets inversion technique based on tilt angle and Helbig method［J］. Journal of Shanghai Jiao Tong University, 2017, 51(5): 577-584.
［8］ANSARI A H, ALAMDAR K. 3D depth and susceptibility estimation of magnetic anomalies using local wavenumber (LW) method［J］. Iranian Journal of Science & Technology, Transaction B: Engineering, 2010, 34(B5): 567-575.
［9］吴招才. 磁力梯度张量技术及其应用研究［D］. 武汉: 中国地质大学(武汉), 2008.
WU Zhaocai. Magnetic gradient tensor technology and its application［D］. Wuhan: China University of Geosciences (Wuhan), 2008.
［10］YIN G, ZHANG Y T, MI S L, et al. Calculation of the magnetic gradient tensor from total magnetic anomaly field based on regularized method in frequency domain［J］. Journal of Applied Geophysics, 2016, 134: 44-54.
［11］BEIKI M, CLARK D A, AUSTIN J R, et al. Estimating source location using normalized magnetic source strength calculated from magnetic gradient tensor data［J］. Geophysics, 2012, 77(6): 23-37.
