基于Delaunay三角剖分的形状伸长估计新方法

IF 1.2 4区地球科学 Q3 ENGINEERING, CIVIL

Survey Review Pub Date : 2022-07-11 DOI:10.1080/00396265.2022.2091876

M. Zygmunt, R. Szewczyk, Jacek Gniadek, J. Janus

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引用次数: 0

摘要

由于需要图像或几何数据分析的技术的动态发展，形状参数的自动确定仍然是当前的问题。本文中描述的研究提出了一种新的方法来估计形状延伸率和计算边界可以用多边形表示的形状的长度。该算法基于Delaunay三角剖分。新方法可能在空间格局分析、土地碎片化和土地整理和景观碎片化分析项目效率方面的实际应用中发挥重要作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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New approach to shape elongation estimation based on the Delaunay triangulation

Automatic determination of shape parameters is still a current issue due to the dynamic development of technologies requiring image or geometric data analysis. The research described in this paper presents a new approach to the estimation of shape elongation and the calculation of lengths of shapes whose boundaries may be represented by polygons. The proposed algorithm is based on the Delaunay triangulation. The new approach may play a significant role in practical applications concerning spatial pattern analysis, land fragmentation and efficiency of projects focused on land consolidation and landscape fragmentation analysis.

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来源期刊

Survey Review 地学-地球科学综合

CiteScore

3.50

自引率

6.20%

发文量

审稿时长

6 months

期刊介绍： Survey Review is an international journal that has been published since 1931, until recently under the auspices of the Commonwealth Association of Surveying and Land Economy (CASLE). The journal is now published for Survey Review Ltd and brings together research, theory and practice of positioning and measurement, engineering surveying, cadastre and land management, and spatial information management. All papers are peer reviewed and are drawn from an international community, including government, private industry and academia. Survey Review is invaluable to practitioners, academics, researchers and students who are anxious to maintain their currency of knowledge in a rapidly developing field.