The aim of seismic imaging is to reconstruct subsurface reflectivity from scattered acoustic data. In standard reconstruction techniques, the reflectivity model parameters are usually defined as a grid of point scatterers over the area or volume of the subsurface to be imaged. We propose an approach to subsurface imaging using the Dual Tree Complex Wavelet Transform (DT-CWT) as a basis for the reflectivity. This basis is used in conjunction with an iterative optimization which frames the problem as a linearized inverse scattering problem. We demonstrate the method on synthetic data and a marine seismic data set acquired over the Gippsland Basin near Australia. The technique is shown to reduce noise and processing artifacts while preserving discontinuities. It is likely to be particularly useful in cases where the acquired date is incomplete. ud
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机译：地震成像的目的是从散射的声波数据重建地下反射率。在标准重建技术中，反射率模型参数通常定义为在要成像的地下区域或体积上的点散射体网格。我们提出一种使用双树复数小波变换（DT-CWT）作为反射率基础的地下成像方法。该基础与迭代优化结合使用，该迭代优化将问题框架化为线性逆散射问题。我们演示了在澳大利亚附近的吉普斯兰盆地上获得的综合数据和海洋地震数据集的方法。示出了该技术在保留不连续性的同时减少噪声和处理伪像。在获取日期不完整的情况下，它可能特别有用。 ud
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