标题:GPU accelerated marine data visualization method
作者:Li Bo; Chen Ge; Tian Fenglin; Shao Baomin; Ji Pengbo
作者机构:[Li Bo; Chen Ge; Tian Fenglin; Ji Pengbo] Ocean Univ China, Dept Marine Technol, Engn Res Ctr Marine Informat Technol, Minist Educ, Qingdao 266100, Pe 更多
通讯作者:Chen, G
通讯作者地址:[Chen, G]Ocean Univ China, Dept Marine Technol, Engn Res Ctr Marine Informat Technol, Minist Educ, Qingdao 266100, Peoples R China.
来源:JOURNAL OF OCEAN UNIVERSITY OF CHINA
出版年:2014
卷:13
期:6
页码:964-970
DOI:10.1007/s11802-014-2304-3
关键词:marine data; visualization techniques and methodologies; spherical ray; casting; line integral convolution; multiquadric method; VV-Ocean
摘要:The study of marine data visualization is of great value. Marine data, due to its large scale, random variation and multi-resolution in nature, are hard to be visualized and analyzed. Nowadays, constructing an ocean model and visualizing model results have become some of the most important research topics of 'Digital Ocean'. In this paper, a spherical ray casting method is developed to improve the traditional ray-casting algorithm and to make efficient use of GPUs. Aiming at the ocean current data, a 3D view-dependent line integral convolution method is used, in which the spatial frequency is adapted according to the distance from a camera. The study is based on a 3D virtual reality and visualization engine, namely the VV-Ocean. Some interactive operations are also provided to highlight the interesting structures and the characteristics of volumetric data. Finally, the marine data gathered in the East China Sea are displayed and analyzed. The results show that the method meets the requirements of real-time and interactive rendering.
收录类别:SCOPUS;SCIE
WOS核心被引频次:2
Scopus被引频次:1
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920124419&doi=10.1007%2fs11802-014-2304-3&partnerID=40&md5=821608b1356968a33d48d6ce9c9f2646
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