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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
GeoVReality: A computational interactive virtual reality visualization framework and workflow for geophysical research
ترجمه فارسی عنوان مقاله:
GeoVReality: چارچوب تجسم واقعیت مجازی تعاملی محاسباتی و گردش کار برای تحقیقات ژئوفیزیکی
منبع:
Sciencedirect - Elsevier - Physics of the Earth and Planetary Interiors, 298 (2020) 106312: doi:10:1016/j:pepi:2019:106312
نویسنده:
Xianying Wanga, Cong Guob, David A. Yuenc,d, Gang Luoe,f,⁎
چکیده انگلیسی:
We present a new interactive computational virtual reality (VR) visualization framework for geophysical Big
Data and models for the development of immersive collaborative virtual reality applications with a focus on
targeted processing and interaction of Big Data. The framework includes a high-performance scalable persistent
storage solution for the spatial analysis of Geospatial Information System (GIS), which uses an engine based on
efficient in-memory computing. To more effectively visualize and interact in a VR environment, a machine
learning algorithm library is used for compressing and extracting visual data. The framework supports mainstream
rendering engines and VR hardware. The framework is extensible, customizable, cross-platform, and it is
based only on open source tools. A workflow was introduced, and the geophysical data visualization and interaction
effects were demonstrated by taking the abyss data of the Mariana Trench as example.
Keywords: Virtual reality | Geophysical model | Interactive visualization | Unreal engine | Unity 3D | Big data
قیمت: رایگان
توضیحات اضافی:
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