中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-source geophysical image fusion method to identify physical anomaly : A case study of airborne electromagnetic and magnetic data

文献类型:期刊论文

作者Lu PengFei1,2,3; Xue GuoQiang1,2,3; Wu Xin1,2,3
刊名CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
出版日期2023-06-01
卷号66期号:6页码:2658-2669
关键词Image fusion Non-subsampled contourlet transform Iliamna volcano data Susceptibility Resistivity
ISSN号0001-5733
DOI10.6038/cjg2022Q0166
英文摘要For one geological model, multiple inversion results are usually obtained by inverted different geophysical data. Comprehensive interpretation of multi-source geophysical data is helpful to achieve accurate identification and location of the target in complex terrain environment. In order to realize the fusion of multi-source data, a method based on Non-Subsampled Contourlet Transform (NSCT) is proposed in this paper. An open source data set that contains airborne electromagnetic and magnetic data from the Iliamna volcanic region in southwest Cook Bay, Alaska, USA, are used. Firstly, multi -source images of different stratum are decomposed into low-frequency and high-frequency sub -band images by NSCT. Then, the fusion rules based on a weighted average and New Metric Parameter (NMP) are designed for the low frequency and highfrequency sub-band images, respectively. Finally, NSCT inverse transformation is used to obtain the fused image containing the information of magnetic susceptibility and resistivity. The fusion results are compared with the prior information from three aspects. The results show that the two have a high consistency, which indicates that this method is effective and reliable and provides a new solution for the target's accurate recognition and fast location.
WOS关键词CONSTRAINED INVERSION ; CONTOURLET TRANSFORM ; JOINT INVERSION ; CONTRAST
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:001004188400031
出版者SCIENCE PRESS
源URL[http://ir.iggcas.ac.cn/handle/132A11/111222]  
专题地质与地球物理研究所_中国科学院矿产资源研究重点实验室
通讯作者Xue GuoQiang
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Lu PengFei,Xue GuoQiang,Wu Xin. Multi-source geophysical image fusion method to identify physical anomaly : A case study of airborne electromagnetic and magnetic data[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2023,66(6):2658-2669.
APA Lu PengFei,Xue GuoQiang,&Wu Xin.(2023).Multi-source geophysical image fusion method to identify physical anomaly : A case study of airborne electromagnetic and magnetic data.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,66(6),2658-2669.
MLA Lu PengFei,et al."Multi-source geophysical image fusion method to identify physical anomaly : A case study of airborne electromagnetic and magnetic data".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 66.6(2023):2658-2669.

入库方式: OAI收割

来源:地质与地球物理研究所

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