Aeromagnetic anomalies interpretation based on improved bi-dimensional empirical mode decomposition (BEMD) and RGB composition

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Ma, Min^1 ; Wang, Chunhui^2 ; Li, Xuan^1 ; Gao, Quan^1 ; Gong, Weiguo^1 ; Shi, Shuxiao^1

First Corps of Gold Army Police Force of China, Haerbin

150086, China^1

Second Gold Army Police Force of China, Huhot

010010, China^2

关键词: Aeromagnetic;    Bi dimensional empirical mode decomposition (BEMD);    Crystalline basement;    Kriging interpolation;    Magnetic data;    Polymetallic;    Termination condition;    Whole process;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/5/052002/pdf
DOI  :  10.1088/1755-1315/237/5/052002

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this study, the bi-dimensional empirical mode decomposition (BEMD) technique is improved by morphological extrema reconstruction, kriging interpolation and self-adaptive termination condition to make the decomposed components more robust. The decomposed components is a self-adaptive and data-driven dyadic filter bank. The high pass filter BIMF1 is about shallow or subsurface faults, it is an indirect indication to polymetallic deposits, especially tectonic-hydrothermal ones. The band pass filter BIMF2 is about regional anomalies from the middle-shallow or mantle-crustal, it is especially indicative to contact-metasomatic deposits. The low pass filter BIMF3+Residue is the shape of deep source trend of mantle magmatic crystalline basement. As they are independent and the original magnetic data can be reconstructed by their summation, they are taken as R, G, and B component and composited as an image, which retains all characters of the filters and shows ore-prospecting areas. The BEMD-RGB algorithm in this way makes aeromagnetic anomalies easier to interpret and more geologically meaningful. The whole process is performed on MATLAB 2010b platform automatically.