On the basis of the dislocation theory and gravity observation, a joint inversion model is presented with a fitting factor A scaling amplitudes between the gravity and GPS observation data. The test results show that ...On the basis of the dislocation theory and gravity observation, a joint inversion model is presented with a fitting factor A 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 ）, 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.展开更多
基金Project supported by Programfor NewCentury Excellent Talentsin University(No. NCET-04-0681) Hubei Province Excellent Young Sciencisit Foun-dation (No.2002AC011) +2 种基金the National Natural Science Foundation of China (No.40344023) Fund of Key Laboratory of Geodesy and Dynamic ,In-stitute of Geodesy and Geophysics , Chinese Academy of Science (No.L04-02) and Open Research Fund Programof the Key Laboratory of GeospaceEnvironment and Geodesy, Ministry of Education, China (No.905276031-04-08 ,950276031-04-10) .
文摘On the basis of the dislocation theory and gravity observation, a joint inversion model is presented with a fitting factor A 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 ）, 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.
