Gravity-magnetic joint inversion based on multiple depth weighting

Gravity-magnetic joint inversion represents a potent technique in geophysical exploration, leveraging both Earth's gravity and geomagnetic field data to deduce subsurface structures and properties. However, current joint inversion imaging of shallow subsurface geological bodies is challenged by limited constraint information, inappropriate weighting parameter choices, and low resolution. In this study, we enhance the approach by integrating multiple depth weighting within the model domain and employing a resolution matrix for data weighting in the data domain. The outcomes from both simulated and actual data suggest that our method significantly improves the resolution and imaging of density and magnetic properties in subsurface inversion.