![]() Finally, principal component analysis was used to calculate the correlation of the reconstructed reflection coefficient and to perform data fusion this led to unified imaging based on the reflection coefficient of the considered geophysical data. Re-sampling and feature reconstruction were performed to unify the data in space and resolution. As geophysical exploration results are primarily provided through waveform and resistivity sections, waveform and resistivity data were selected for fusion and were converted into reflection coefficients, and ground-penetrating radar (GPR) and surface electrical resistivity tomography (ERT) were taken as examples. We establish a set of data fusion imaging methods for multiple geophysical data based on their reflection coefficients. At present, few studies have considered the correlation degree and unified imaging of different types of geophysical data. To achieve comprehensive analyses, the presentation of comprehensive geophysical results usually involves the use of separate imaging and the combination of various results.
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