Open AccessApplication of wavelet multi-scale analysis in the separation of aeromagnetic data potential field
Author(s) -
Hailong Sun,
Yingxin Liu,
Wei Zheng,
Xuyang Shi,
Yahong Wang,
Lichun Lu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/660/1/012131
Subject(s) - geology , aeromagnetic survey , wavelet transform , scale (ratio) , field (mathematics) , data processing , potential field , wavelet , reflection (computer programming) , interpretation (philosophy) , geophysics , remote sensing , pattern recognition (psychology) , seismology , artificial intelligence , computer science , cartography , mathematics , geography , operating system , physics , quantum mechanics , magnetic field , pure mathematics , programming language
The aeromagnetic data obtained in the field is a comprehensive reflection of all geological bodies in the ground. When interpreting and inferring a field in different depths, it is necessary to separate the anomalies. As a widely used mathematical transform, wavelet transform introduces the concept of multi-scale analysis, which can effectively separate the aeromagnetic anomalies, clearly reflect the abnormal forms in different depths, and effectively. It improves the recognition accuracy of aeromagnetic data and provides a solid foundation for the processing and interpretation of aeromagnetic data.