Leading-Order Seismic Imaging Using Curvelets H. Douma (Department of Geosciences Princeton University) and M.V. de Hoop (Center for Computational and Applied Mathematics and Department of Earth and Atmospheric Sciences Purdue University) SUMMARY____________________________________________________________ We show that with curvelets the leading-order approximation (in angular frequency horizontal wavenumber and migrated location) to Kirchhoff depth-migration becomes a simple transformation of the coordinates of the curvelets in the data combined with amplitude scaling. This transformation is calculated using map migration which uses the local slopes provided by the curvelet decomposition of the data. We verify the accuracy of the method using numerical examples for homogeneous


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