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沉浸式虚拟现实技术在地球科学中的应用 被引量:9

The application of immersive virtual reality technology in geoscience
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摘要 近年来,随着科学技术的发展,地球科学领域的各种测量和模拟数据呈爆炸式增长,对数据的可视化和实时分析也提出了新的挑战,传统的二维可视化方法已经不能充分满足地球科学的科研和教学需求.新一代沉浸式虚拟现实技术使观察者能够直观地观察和分析三维地球的科学数据,并与数据进行交互,实现沉浸式地实时分析或远程虚拟野外考察,这将帮助地球科学领域的研究人员更快更准确地理解三维地球科学数据.同时虚拟现实技术也能促进新的科学发现的产生,并能够帮助地球科学的成果在大众中的科普推广.目前已经有不少学者进行了相关的探索,并取得了一系列的重要成果.本文回顾了过去几十年沉浸式虚拟现实技术的基本原理和在地球科学领域的各种具体应用方式,讨论了该技术在地球科学领域的优势与前景,以及进一步拓展应用水平还需要解决的相关问题. In recent years,with the development of science and technology,a large amount of measurement and simulation data in the field of geoscience has emerged,posing challenges to data visualization and real-time analysis.Traditional two-dimensional visualization methods can no longer fully meet the scientific research and teaching needs of geoscience.The new generation of immersive virtual reality technology enables observers to intuitively observe and analyze the scientific data of the three-dimensional earth,and interact with the data to achieve immersive real-time analysis or remote virtual field surveys.This will help researchers in the field of geoscience to understand the three-dimensional geoscience data more quickly and accurately;promote the generation of new scientific discoveries;and help popularize the results of geoscience among the general public.At present,many scholars have carried out related explorations and achieved a series of important results.This article reviews the basic principles of immersive virtual reality technology and various specific applications in the field of geoscience in the past few decades,discusses the advantages and prospects of this technology in the field of geoscience,and the related issues that need to be resolved to further expand the application level.
作者 罗珽 冷伟 Luo Ting;Leng Wei(School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,China)
出处 《中国科学技术大学学报》 CAS CSCD 北大核心 2021年第6期431-440,共10页 JUSTC
基金 国家自然科学基金(41688103,41820104004,41774105)资助。
关键词 沉浸式 虚拟现实 地球科学 数据可视化 immersive virtual reality geoscience data visualization
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