Research on magnetic field vector and gradient migration imaging method
Aiming at the semi quantitative modeling and fitting problem of human-computer interaction in the current two-dimensional magnetic field interpretation,based on the potential field migration imaging theory,this paper studies the migration imaging algorithm of two-dimensional magnetic field and its gradient,that is,through the upward continuation iteration of the mirror magnetic field source,the imaging algorithm of magnetic susceptibil-ity is realized,and the forward simulation and migration imaging program are written.The model calculation shows that the spatial position of the magnetic body obtained by the migration imaging algorithm is in good agreement with the model position,and the transverse resolution is higher than the longitudinal resolution.In the anti-noise research,a large interference signal is added to the theoretical magnetic field data.The migration imaging results show that the magnetic body imaging is clear,which shows that the algorithm has robust anti-noise ability.The measured data of magnetic field gradient are obtained by physical experiment method.The position of magnetic body obtained by migration imaging is consistent with the position of experimental iron block,which shows that the algorithm can inverse and interpret the magnetic field gradient data obtained in field production.The above research shows that the two-dimensional magnetic field and its gradient migration imaging algorithm has stable performance,strong anti-noise ability,automatic iterative inversion imaging,simple and convenient,and is worthy of popularization.
two dimensional magnetic anomalymagnetic migration imagingmagnetic gradient migration imagingadjoint operatorcontinuation
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