地形信息和数学模型中拐点线识别的算法和方法

O. Plisenko
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引用次数: 0

摘要

本研究课题的相关性在于,目前还没有一种通用的自动识别和识别构造起伏要素的技术。该课题是地貌制图的主要分析方向之一,其解决将缩短其开发时间,统一结果,拓展同态和遗传同构初等表面模型在跨学科研究中的应用领域。为了解决这一问题,建立了一个信息和数学地形模型,其目的是以所有结构元素的一致集合的形式呈现地表地形,并在三维空间中模拟得到的地表地形,提供一个完整的结构地形元素突出和分类的自动化循环,并给出各种算法对其进行分析。所描述的工作阶段包括开发原始算法和方法,用于自动识别斜坡拐点线,作为信息和数学模型的一部分。斜坡弯曲线是在物质-能量流重新分配之间和内部基因均匀的表面结构。拐点线选择的自动化是构建目标地形模型的第二个阶段。在研究中,我们讨论了自动化技术的主要阶段,为开发的算法提供初始数据,概述了用于确定斜坡拐点线的现有方法和软件产品,描述了开发算法中使用的数学和算法技术,并讨论了与开发的通用技术相关的使用这些技术的特点。这项工作的结果是一种原始的自动方法来确定斜坡弯曲线,这使我们能够进行基本表面的自动识别和分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithms and methodology for inflection line identification within information and mathematical model of relief
The relevance of this research topic lies in the fact that a universal technology for automated recognition and identification of structural relief elements is currently not available. This task is one of the main analytical directions of geomorphological mapping, and its solution will reduce the time for its development, unify the results, and expand the field of application of the homomorphic and genetically homogeneous elementary surface model in interdisciplinary research. To solve this problem, an information and mathematical relief model is developed, the purpose of which is to present surface relief in the form of a consistent set of all structural elements, simulate the obtained surface in 3D space, provide a complete automated cycle of highlighting and classifying structural relief elements, and present various algorithms for its analysis. The described work stage includes the development of original algorithms and methods for automatic identification of slope inflection lines as part of an information and mathematical model. Slope inflection lines are structuring in material-energy flow redistribution between and within genetically homogeneous surfaces. Automation of the selection of inflection lines is the penultimate stage of constructing the target terrain models. In the study, we discuss the main stages of the automated technology supplying the initial data for the developed algorithms, give an overview of the existing methods and software products used to determine the slope inflection lines, describe the mathematical and algorithmic techniques used in the developed algorithms, and discuss the peculiarities of using these techniques in relation to the developed general technology. The result of the work is an original automatic methodology for determining slope inflection lines, which allows us to proceed to automatic identification and classification of elementary surfaces.
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来源期刊
CiteScore
0.90
自引率
0.00%
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2
审稿时长
8 weeks
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