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| | Abstract | | Seismic tomography does not usually have enough observation data because it is difficult to set the sources and receivers freely in the ground. In this study, we aim at improving the accuracy of the inversion with the small amount of the data using the generalized LASSO. We prepare three types of the penalty matrix and try calculating the generalized LASSO in numerical analysis using each of the penalty matrix. It is clarified that the generalized LASSO can improve the accuracy of the inversion comparing to the result of the conventional method by setting the appropriate penalty matrix and appropriate coefficient matrix. When applying the generalized LASSO, Cross-Validation (CV), which is a method to choose the generalization parameter, can be used to choose the optimal regularization parameter. |
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