Data continuation in the presence of caustics: A synthetic data example
نویسندگان
چکیده
In data continuation, the information present in the collected data is used to estimate data at new positions. We investigate two examples of data continuation: data healing and dip moveout. By composing a modeling operator with an imaging operator we can construct an operator to perform each of the tasks. We review the theory and present an algorithm for data continuation specifically directed at these two examples. This algorithm is able to continue data in the presence of caustics. To demonstrate the performance of this algorithm, we use a synthetic example in which there are caustics.
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تاریخ انتشار 2004