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《Journal of Central South University(Science and Technology)》 2012-06
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Magnetotelluric sounding data strong interference separation method based on mathematical morphology filtering

TANG Jing-tian,LI Jin,XIAO Xiao,XU Zhi-min,LI Hao,ZHANG Chi (School of Geosciences and Info-Physics,Central South University,Changsha 410083,China)  
Aimed at the problem that magnetotelluric signals are frequently influenced by strong noise interference during acquisition,a new magnteotelluric sounding data strong interference separation method based on mathematical morphology filtering was proposed.Firstly,the noise reduction capability was checked through simulated signal with the common strong interference and then the structure elements size selection program was analysed according to different noise types.Finally,the morphological filtering method was applied to the measured magnetotelluric signals noise reduction process.Experiments using nonlinear conjugate gradient method for inversion were conducted to check the improvement of magnetotelluric signals quality.The results indicate that the proposed method can effectively eliminate large scale disturbance and baseline drift of magnetotelluric signals.The method can better keep the original features of magnetotelluric signals,and the quality of magnteotelluric sounding data is improved.Because the principle of the method is simple and the parallel computing speed is fast,it has good application value and is suitable for the strong interference separation in ore district.
【Fund】: 国家科技专项“深部探测技术与实验研究专项”资助项目(SinoProbe-03);; 国家自然科学基金资助项目(41104071);; 湖南省教育厅资助项目(11B074);; 中南大学中央高校基本科研业务费专项资金资助项目(2011QNZT012)
【CateGory Index】: P631.325
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