scholarly journals A level-set algorithm for the inverse problem of full magnetic gradient tensor data

2020 ◽  
Vol 107 ◽  
pp. 106416
Author(s):  
Wenbin Li ◽  
Jianliang Qian
2019 ◽  
Vol 50 (6) ◽  
pp. 600-612
Author(s):  
Jinpeng Li ◽  
Yingtang Zhang ◽  
Hongbo Fan ◽  
Zhining Li ◽  
Min Liu

2014 ◽  
Vol 8 (1) ◽  
pp. 083596 ◽  
Author(s):  
Yin Gang ◽  
Zhang Yingtang ◽  
Fan Hongbo ◽  
Li Zhining

Author(s):  
Vinicio Sanchez ◽  
David Sinex ◽  
Yaoguo Li ◽  
Misac Nabighian ◽  
David Wright ◽  
...  

2018 ◽  
Vol 67 (1) ◽  
pp. 226-261 ◽  
Author(s):  
Shuangxi Ji ◽  
Huai Zhang ◽  
Yanfei Wang ◽  
Liangliang Rong ◽  
Yaolin Shi ◽  
...  

Geophysics ◽  
2019 ◽  
Vol 84 (3) ◽  
pp. A31-A35 ◽  
Author(s):  
Zhengyong Ren ◽  
Huang Chen ◽  
Chaojian Chen ◽  
Yiyuan Zhong ◽  
Jingtian Tang

We have developed a new analytical expression for the magnetic-gradient tensor for polyhedrons with homogeneous magnetization vectors. Instead of performing the direct derivative on the closed-form solutions of the magnetic field, it is obtained by first transforming the volume integrals of the magnetic-field tensor into surface integrals over polyhedral facets, in terms of the gradient theorem. Second, the surface divergence theorem transforms the surface integrals over polyhedral facets into edge integrals and structure-simplified surface integrals. Third, we develop analytical expressions for these edge integrals and simplified surface integrals. We use a synthetic prismatic target to verify the accuracies of the new analytical expression. Excellent agreements are obtained between our results and those calculated by other published formulas. The new analytical expression of the magnetic-gradient tensor can play a fundamental role in advancing magnetic mineral explorations, environmental surveys, unexploded ordnance and submarine detection, aeromagnetic and marine magnetic surveys because more and more magnetic tensor data have been collected by magnetic-tensor gradiometry instruments.


2005 ◽  
Author(s):  
Vinicio Sanchez ◽  
David Sinex ◽  
Yaoguo Li ◽  
Misac Nabighian ◽  
David Wright ◽  
...  

2019 ◽  
Author(s):  
Ming Hu ◽  
Peng Yu* ◽  
Chongjin Zhao ◽  
Luolei Zhang

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 173738-173752
Author(s):  
Jinpeng Li ◽  
Yingtang Zhang ◽  
Hongbo Fan ◽  
Zhining Li

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