| 全张量重力梯度数据垂直分量噪声滤除方法研究 |
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| 引用本文： | 高秀鹤,于平,赵玥.全张量重力梯度数据垂直分量噪声滤除方法研究[J].世界地质,2015,34(1):203-209. |
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| 作者姓名： | 高秀鹤 于平 赵玥 |
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| 作者单位： | 1. 吉林大学 地球探测科学与技术学院，长春 130026; 2. 内蒙古自治区地质勘查基金管理中心，呼和浩特 010020 |
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| 摘 要： | 全张量重力梯度数据中含有高频成分,为了在去除高频噪声的同时,保留浅部小异常体信息,本文利用最小二乘原理,求解重力梯度垂直分量与重力数据联合约束下的超定方程组。结果表明,随着计算窗口的增大,去噪效果越来越好,对于本文所设计的模型,当计算窗口增大到32×32时,重力数据中99%以上的噪声被去除,张量数据Vxz、Vyz中,分别有大约40%、50%的噪声被去除;同时,浅部小异常体信息几乎全部保存。
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| 关 键 词： | 全张量 联合 滤波 高频信号 |
Noise attenuation of vertical components of full tensor gravity gradient data |
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| GAO Xiu-He,YU Ping,ZHAO Yue.Noise attenuation of vertical components of full tensor gravity gradient data[J].World Geology,2015,34(1):203-209. |
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| Authors: | GAO Xiu-He YU Ping ZHAO Yue |
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| Institution: | 1. College of Geo- exploration Science and Technology，Jilin University，Changchun 130026，China; 2. The Inner Mongolia Autonomous Ｒegion 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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