加速多山影分层聚类的自动轮廓提取

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-09-30 DOI:10.1007/s10109-023-00423-y
Ondřej Kaas, Jakub Šilhavý, Ivana Kolingerová, Václav Čada
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引用次数: 0

摘要

摘要:地貌线是反映地质构造中山脊或不连续面的线状特征。纹理提取不是一个简单的问题。近年来,提出了一种基于多山丘层次聚类(MHHC)的自动聚类方法;该方法基于从光栅图像中提取线条。该方法的一个重要部分是空间线段聚类,这是一个功能强大但速度相对较慢的工具。本文提出了一种改进的MHHC方法,将空间线段聚类问题作为设施定位问题加以解决。提出的修改比MHHC更快,同时不改变方法的核心。
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Accelerated multi-hillshade hierarchic clustering for automatic lineament extraction
Abstract The lineaments are linear features reflecting mountain ridges or discontinuities in the geological structure. Lineament extraction is not an easy problem. Recently, an automatic approach based on multi-hillshade hierarchic clustering (MHHC) has been developed; the approach is based on line extraction from a raster image. An essential part of this approach is spatial line segment clustering, a powerful but relatively slow tool. This paper presents a modification of MHHC, which solves the spatial line segment clustering as a facility location problem. The proposed modification is faster than MHHC while not changing the method’s core.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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