Abstract
In this paper, we proposed a fast interpretation method for gravity gradiometry data, based on the magnetic dipole localization method. It could automatically and rapidly locate the horizontal and vertical positions of gravity targets without prior information. This method was successfully tested on synthetic data. Compared with gradient ratio method (tilt-depth) and Euler deconvolution, our method provided good performance in the gravity gradiometry data with high noise levels and superimposed fields. Point selection was processed among the inversion results to improve the resolution of our method. Statistical analysis and Gaussian fitting were also used to improve the stability and accuracy of the calculation. Finally, we applied this algorithm to gravity gradiometry data over Vinton Dome; the results are consistent with previous research in this area.
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