Abstract Marine magnetic survey data needs to be converted to different heights to construct the 3D marine magnetic space background field model. The analytical continuation of the magnetic field is a key technique for this transformation. The high frequency information in survey data is easily amplified by the continuation operator, with the result that downward continuation contains lots of noise, reducing the accuracy of the 3D marine magnetic space background field model. For this problem, the 2D adaptive wavelet threshold denoising method is introduced in this paper. The noise variance is estimated in survey data by this method, setting the adaptive threshold according to different wavelet decomposition levels, and high frequency noise in the magnetic data is removed before downward continuation. Actual data processing shows that under the conditions of different noise, the denoising effect of wavelet adaptive threshold method is superior to FFT smoothing, and the result of downward continuation has a significant improvement, providing the basis for the construction of 3D marine magnetic space background field model.
LIU Qiang,BIAN Gang,ZHAO Junsheng et al. Denoising Method of Marine Magnetic Field Data: Based on the 2D Adaptive Wavelet Threshold[J]. jgg, 2018, 38(8): 851-856.
LIU Qiang,BIAN Gang,ZHAO Junsheng et al. Denoising Method of Marine Magnetic Field Data: Based on the 2D Adaptive Wavelet Threshold[J]. jgg, 2018, 38(8): 851-856.