基于轴向花键简化轮廓线,获得高质量的结果

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Geographical Information Science Pub Date : 2023-05-24 DOI:10.1080/13658816.2023.2193969
T. Bayer, I. Kolingerová, Marek Celonk, J. Lysák
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引用次数: 0

摘要

摘要:本文介绍了一种新的简化方法,可以提供高质量的三维点云轮廓线,使其能量最小化。它结合了化简势和具有广义轴对称的样条。生成类似于拓扑骨架的结果,它适用于大比例尺地图(1:50 000 - 1:25 000)。它显著改善了等高线的所有几何和形状参数,即在平坦区域。使用17个不变量对高空间密度点云进行了广泛的制图测试。结果表明,所提出的方法具有巨大的潜力。简化的等高线保持给定的垂直误差,位于垂直缓冲区内,是平行的,美观的,并且具有相似的间距;它们的人为振荡显著减少。与复杂的概化方法不同,该方法不干扰DTM,而只是对等高线的地图表示进行校正。
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Simplification of contour lines, based on axial splines, with high-quality results
Abstract This paper introduces a new simplification method providing high-quality contour lines derived from the 3D point cloud, minimizing their energy. It combines the simplification potential and the splines with the generalized axial symmetry. Generating results similar to the topological skeleton, it applies to large-scale maps (1:5000–1:25,000). It significantly improves all geometric and shape parameters of contour lines, namely in flatter areas. Extensive cartographic testing on high spatial density point clouds using 17 invariants is performed. The outcomes indicate the significant potential of the proposed method. The simplified contour lines preserve the given vertical error, lie within the vertical buffer, are parallel, aesthetically pleasing, and have similar spacing; their artificial oscillations are significantly reduced. Unlike complex generalization methods, the proposed solution does not interfere with the DTM but performs only a correction of the cartographic representation of contour lines.
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
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