This paper introduces the concept of the Unit Similarity Vector (USV) which is based on the hypothesis that signals on adjacent channels are similar, and then discusses how the amplitude vector formed in a multichannel environment, is resolved into two components--the similarity component and the dissimilarity component. The signal-to-noise ratio can be enhanced by compressing the dissimilarity component. Excellent results are obtained using the method with surface seismic data, and satisfactory results are also obtained with three-component VSP data sets.

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