Radon transforms rely on the ability to predict the moveout of coherent events. Most algorithms assume parabolic or hyperbolic moveout, a characteristic that many reflections do not adhere to. Standard parabolic and hyperbolic Radon transforms typically involve smearing of reflections across Radon space, which reduces the effectiveness of coherent-noise suppression. We present a method developed to specifically remove reflections having nonhyperbolic moveout. The shifted-hyperbolic and anisotropic Radon transforms employ a curve-fitting technique to allow for flexibility in predicting the true moveout of specific reflections. In addition, approximations to the damping factors used in the low- and high-resolution Radon algorithms are presented. These alternate parameters are feasibly employed and improve the efficiency of the algorithms.
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