valencia@sep.stanford.edu, biondo@sep.stanford.edu, antoine@sep.stanford.edu

## ABSTRACTA target-oriented strategy can be applied to estimate the wave-equation least-squares inverse image () by explicitly computing the Hessian (). The least-squares inverse image is obtained as the solution, using a conjugate gradient algorithm, of a non-stationary least-squares filtering problem (where is the migration image, and the rows of the Hessian are non-stationary filters). This approach allows us to perform the number of iterations necessary to achieve the convergence, by exploiting the sparsity and structure of the Hessian matrix. The results on a constant velocity model and a model with a velocity Gaussian anomaly show the validity of the method. |

- Introduction
- Linear least-squares inversion
- Target-oriented Hessian: dimensions and structure
- non-stationary least-squares filtering
- numerical examples
- Conclusions
- Acknowledgments
- REFERENCES
- About this document ...

5/3/2005