Three-dimensional seismic image dip angle estimation method based on multi-scale gradient structure tensor

The invention discloses a three-dimensional seismic image dip angle estimation method based on a multi-scale gradient structure tensor, is applied to the field of computer vision and image processing, and aims to solve the problem that information of different scales cannot be fully utilized because the unique information of a seismic dip angle is not considered in an existing fusion mechanism. According to the method, a multi-scale gradient structure tensor method combining a multi-scale scheme and a gradient structure tensor algorithm and a fusion mechanism based on inclination angle estimation quality are adopted, quality measurement is used as scale fusion weight, and robust and high-resolution inclination angle estimation of low-signal-to-noise-ratio three-dimensional seismic data is achieved. 本发明公开基于多尺度梯度结构张量的三维地震图像倾角估计方法，应用于计算机视觉和图像处理领域，针对现有融合机制并没有考虑到地震倾角特有的信息，因此不能充分利用不同尺度的信息的问题；本发明采用多尺度方案与梯度结构张量算法结合的多尺度梯度结构张量方法和基于倾角估计质量的融合机制，使用质量度量作为尺度融合权重，实现低信噪比三维地震数据的鲁棒、高分辨率倾角估计。