基于多尺度梯度结构张量的三维地震图像倾角估计方法
By constructing a multi-scale Gaussian image pyramid and combining it with a quality metric as the scale fusion weight, the problem of inaccurate dip estimation under high noise conditions in traditional methods is solved, and high-resolution and robust dip estimation of 3D seismic images is achieved.
CN116402965BActive Publication Date: 2026-07-17UNIV OF ELECTRONICS SCI & TECH OF CHINA
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- UNIV OF ELECTRONICS SCI & TECH OF CHINA
- Filing Date
- 2023-04-13
- Publication Date
- 2026-07-17
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Figure CN116402965B_ABST
Abstract
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。
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