Three-Dimension Inversion of Magnetic Data Based on Multi-Constraint UNet++
Jian Jiao,
Xiangcheng Zeng,
Hui Liu
et al.
Abstract:The three-dimension (3D) inversion of magnetic data is an effective method of recovering underground magnetic susceptibility distributions using magnetic anomaly data. The conventional regularization inversion method has good data fitting; however, its inversion model has the problem of a poor model-fitting ability due to a low depth resolution. The 3D inversion method based on deep learning can effectively improve the model-fitting accuracy, but it is difficult to guarantee the data-fitting accuracy of the in… Show more
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