Application of the tilt derivative transform to bathymetric data for structural lineament mapping

Application of the tilt derivative transform to bathymetric data for structural lineament mapping
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倾斜导数变换在测深数据中的应用以进行结构线测绘

DOI:
10.1016/j.jsg.2021.104301
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发表时间:
2021
影响因子:
3.1
通讯作者:
Yeomans C
Yeomans C
中科院分区:
地球科学2区
文献类型:
--
作者:
Yeomans C

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高分辨率水深测量提供了一个机会来分析陆上地区暴露程度有限的地方地质结构。对于人工分析主观和耗时的大覆盖区域,半自动的线条检测方法是必要的。然而,半自动的方法依赖于有效的特征提取方法来识别真正的线条。这项研究为在海底(如古海岸线)出现陡峭台阶时阻碍加工方法的常见问题提供了解决办法。在应用基于目标的图像分析线条检测方法之前,研究了方向梯度、Sobel和拉普拉斯滤波器以及用于特征提取的山体阴影和倾斜导数变换。过滤后的数据集通常性能较差,在使用山体阴影变换时会有明显的改善。然而,我们发现方位不变的倾斜导数是最成功的,它结合了卷积的垂直导数,识别了一系列方向上和海底陡峭台阶上的线形结构。
High-resolution bathymetry surveys provide an opportunity to analyse local geological structure where onshore areas afford limited exposure. Semi-automated lineament detection methods are necessary for areas of large coverage where a manual analysis would be subjective and time-consuming. However, semi-automated approaches are dependent on effective feature extraction methods to identify genuine lineaments. This study offers solutions to common problems that can impede processing methods where sharp steps in the seafloor (e.g. palaeocoastlines) are present. Directional gradient, Sobel and Laplacian filters are explored as well as the hillshade and tilt derivative transform for feature extraction prior to applying an object-based image analysis lineament detection approach. The filtered datasets generally perform poorly with a marked improvement when using the hillshade transform. However, we find the azimuth-invariant tilt derivative, which incorporates a convolved vertical derivative, to be the most successful, identifying lineaments in a range of orientations and across a sharp step in the seafloor.
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