Adaptive partitioning algorithms in 1D have been developed and applied to improve the 2D Gabor imaging efficiency. These algorithms reduce the computation redundancy in Gabor imaging without sacrificing accuracy. A new adaptive partitioning algorithm in 1D using lateral position error as the criterion is described in another paper in this volume. In this paper, we extend the adaptive partitioning technique to 2D as required for 3D Gabor depth imaging. Some tests of the 2D adaptive partitioning are presented to show that the algorithm works properly 2D horizontal slices of 3D velocity models. We also present some results of 3D impulse response tests using the Gabor extrapolator.
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