An Improved Method of Joint Inversion Using GPS and Gravity Observation Data

摘要

On the basis of the dislocation theory and gravity observation, a joint inversion model is presented with a fitting factor λ scaling amplitudes between the gravity and GPS observation data. The test results show that the new joint model is better than that taking the scale factor λ as a constant from the inversion result of MSE (mean square error). In addition, the random cost method used in the inversion algorithm is revised and improved, which shows that the improved random cost method can easily get the local minimum value and greatly decrease the iteration steps.