Joint Inversion of Gravity and Magnetic Data based on the Modified Structural Similarity Index for the Structural Consistency Constraint

• DOI: 10.36956/eps.v3i1.849
• Publication Date: 2024-04-30T09:15:47Z
• Authors: Sheng Liu; Yiju Tang; Fangchao Lu; Dali Sun; Bin Jia; Yuhao Ma
• Keywords: Similarity (geometry)

Joint inversion is a crucial approach to mitigate the non-uniqueness problem in geophysical inversion. Nevertheless, existing joint methods fall short of meeting stringent requirements high-precision exploration, necessitating development new techniques. In this paper, we introduce Structural Similarity Index (SSIM) as novel structural consistency constraint for gravity and magnetic data. Compared with results cross-gradient inversion, our method demonstrates outstanding performance stability. SSIM not only introduces class constraints but also enhances distribution physical attribute values. The are more comprehensive robust, significantly improving reliability Both synthetic real data applications demonstrate that proposed can effectively handle both data, yielding results.