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
复制标题
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
中科院分区:
文献类型:
--
作者:
Yeomans C
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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影响因子:
3.1
作者:
G. Lloyd;N. Chinnery
通讯作者:
N. Chinnery
DOI:
10.1071/aseg2004ab041
发表时间:
2004
期刊:
ASEG Extended Abstracts
影响因子:
--
作者:
Y. Fairhead;C. Green;K.M.U. Fletcher
通讯作者:
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DOI:
10.1144/goewp.10
发表时间:
2006
期刊:
Comput. Geosci.
影响因子:
--
作者:
B. Leveridge;A. Hartley
通讯作者:
A. Hartley
DOI:
10.1016/0167-8655(86)90032-2
发表时间:
1986
期刊:
Pattern Recognit. Lett.
影响因子:
--
作者:
E. R. Davies
通讯作者:
E. R. Davies
影响因子:
3.4
作者:
Andrews, Billy J.;Roberts, Jennifer J.;Johnson, Gareth
通讯作者:
Johnson, Gareth