用基于密度的聚类方法创建空气走廊

O. Çiftçi
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引用次数: 0

摘要

由于世界上战争和冲突地区的增多,用炮兵部队射击民用飞机的危险日益增加。考虑到射击民用航空器的危险性,必须为民用航空器划定安全飞行区域。数据挖掘技术可以快速准确地识别安全飞行区域。在本研究中,我们首先使用一个新的数据集和几种聚类算法来发现民用飞机的繁忙航线。我们根据算法创建空中走廊的能力对它们进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating Air Corridors with Density Based Clustering Method
The danger of shooting civil aircrafts with artillery units is increasing day by day due to the number of war and skirmish zones in the world. Considering the danger of shooting a civilian aircraft, a safe flight zone must be defined for civilian aircrafts. Data mining techniques can quickly and accurately identify safe flight zones. In this study, we firstly discover the civilian aircraft busy routes using a novel dataset and several clustering algorithms. We perform a comparison among algorithms based on their ability to create air corridors.
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