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2015, 34(1) 203-209 DOI:
ISSN: 1004-5589 CN: 22-1111/P |
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Noise attenuation of vertical components of full tensor gravity gradient data |
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GAO Xiu-He, YU Ping, ZHAO Yue |
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1. College of Geo- exploration Science and Technology��Jilin University��Changchun 130026��China; 2. The Inner Mongolia Autonomous ��egion Geological Exploration Fund Management Center��Hohhot 010020��China |
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Abstract��
There are high- frequency contents in full tensor gravity gradient data�� To preserve shallow small- scale features while removing the high-frequency noise��we solve the overdetermined equation by least squares on constraints of gravity data and vertical components of full tensor gravity gradient data�� The results of the experiment demonstrate that noise reduction results become better when calculation windows increase�� When calculation win- dows are 32 ×32��more than 99% noise can be removed from the gravity data��respectively about 40% and 50% noise can be removed from the data V xz �� V yz �� At the same time��the method do not lose high frequency signal�� |
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Keywords��
full tensor gravity gradient
joint
filter
high- frequency signal
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Received Revised Online: |
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