Potential field migration represents a rapid technique for imaging the subsurface based on gravity data. However, migration transformation usually produces a smooth and unfocused image of the targets due to the diffusive nature of the potential fields. In this paper, we introduce a method of the migration image enhancement and sharpening based on the application of the hybrid focusing stabilizer, which combines the edge-preserving smoothing filter with the minimum support functional. The method is based on the model resolution matrix of the migration operator. We also improve the migration image with a novel target-oriented migration method. The developed method of migration image enhancement and sharpening is illustrated by synthetic model studies and case studies. The case study involves imaging the full tensor gravity gradient data collected in the Nordkapp Basin of the Barents Sea.

中文翻译：

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增强和锐化重力场及其梯度的迁移图像

势场偏移代表了一种基于重力数据对地下进行成像的快速技术。然而，由于势场的扩散特性，迁移变换通常会产生目标的平滑且未聚焦的图像。在本文中，我们介绍了一种基于混合聚焦稳定器应用的偏移图像增强和锐化方法，该方法将边缘保留平滑滤波器与最小支持函数相结合。该方法基于迁移算子的模型分辨率矩阵。我们还使用一种新颖的面向目标的迁移方法改进了迁移图像。通过合成模型研究和案例研究说明了所开发的迁移图像增强和锐化方法。